2025 OCR A-Level Geography - H481 Practice Paper with Answers

A strong answer explains the sequence causally. Waves refract around a more resistant headland so that wave energy is concentrated on its flanks. Where the rock has joints, faults or bedding planes, or a band of weaker rock, hydraulic action forces air and water into the cracks under pressure, widening them, while abrasion by carried sediment enlarges the notch at the cliff base. A wave-cut notch deepens into a cave. Continued erosion, especially if two caves meet from opposite sides or the cave roof is breached (possibly forming a blow hole), produces an arch. The arch is undercut at its base and its roof is weakened by subaerial weathering (e.g. freeze-thaw, salt crystallisation) and gravity; eventually the roof collapses, leaving an isolated stack. The stack is attacked at the base by waves and weathered above, and it collapses to leave a low stump, visible mainly at low tide. Where rock is uniformly resistant or lacks structural weaknesses the sequence is slower or absent; high energy conditions (long fetch, strong prevailing winds, steep offshore profile) speed it up.

AO1 (up to 4) and AO2 (up to 4). Best-fit levels. Indicative content could potentially include: wave refraction concentrating energy on headlands; joints, faults, bedding and differential resistance; hydraulic action, abrasion, corrosion; notch -> cave -> blow hole/arch -> collapse -> stack -> stump; subaerial weathering and mass movement; high energy factors such as fetch and wind. Credit relevant alternatives.

Level 3 (thorough, 6-8 marks): accurate, detailed and coherent explanation of the whole sequence with clear causal links to both rock structure and wave energy; at least three processes accurately applied; may qualify (e.g. effect of uniform rock or of tidal range). Award 7-8 only if both geology and wave energy are integrated throughout.
Level 2 (reasonable, 3-5 marks): explains part of the sequence or most of it with limited linkage; either geology or wave energy is developed more than the other; some accurate process terminology.
Level 1 (basic, 1-2 marks): simple, generalised or list-like statements, e.g. 'waves erode the cliff to make a cave then an arch'; little or no process or geological detail.
0 marks: no creditable response.

Note: do not credit deposition-based landforms. Descriptions of the landforms without explanation are limited to Level 1.

Total inputs: \( 4.2 + 1.8 + 2.5 = 8.5 \) thousand m³ per year.
Total outputs: \( 6.1 + 1.3 = 7.4 \) thousand m³ per year.
Net change: \( 8.5 - 7.4 = +1.1 \) thousand m³ per year, so the beach gains sediment (positive sediment budget).

Total: 2 marks (point marking).

1 mark (working): correctly adds the inputs (8.5) and/or the outputs (7.4), or shows a clear subtraction of outputs from inputs, e.g. \( (4.2 + 1.8 + 2.5) - (6.1 + 1.3) \). This mark is awarded independently of the final answer.
1 mark (answer): net change of +1.1 thousand m³ per year (or 1100 m³ per year, or 'gain of 1.1').

Accept: answer given as 1.1 with units omitted only if the working shows the units are thousand m³; a statement such as 'net gain' or 'positive budget' alongside the figure.
Reject: an answer of -1.1 (sign error) for the answer mark; the working mark may still be awarded if the totals 8.5 and 7.4 are shown.
A correct final answer of +1.1 with no working scores 2 marks. No error-carried-forward applies: if the totals are wrong, the working mark is not awarded unless the correct method is clearly shown, and the answer mark requires +1.1.

The sign of rs is negative, so as distance down-drift from the groyne increases, mean sediment depth tends to decrease (sediment is deepest next to the groyne, where longshore drift is trapped). The magnitude \(|r_s| = 0.72\) is a fairly strong relationship. Since \(0.72 > 0.648\), the result exceeds the 5% critical value, so the null hypothesis of no association can be rejected at the 5% level (95% confidence). Since \(0.72 < 0.794\), it does not reach the 1% level.

Point marking, 2 marks (AO3).

1 mark: identifies a negative (inverse) correlation of fairly strong/strong strength, in context: sediment depth decreases with increasing distance down-drift from the groyne. Do not credit 'positive'. Credit 'moderate to strong'. Do not credit a statement of the sign only without reference to the variables.

1 mark: correct statement about significance, using the critical values: significant at the 5% level because 0.72 is greater than 0.648 (null hypothesis rejected / result unlikely to be due to chance) AND/OR not significant at the 1% level because 0.72 is less than 0.794. Accept either comparison if correctly made; do not credit a claim of significance at 1%.

Do not credit statements that the correlation proves the groyne causes the pattern. No error carried forward is applicable: both marks depend only on the values given in Table 2.

Step 1: \(r_s = -0.86\) is negative and close to \(-1\), so a strong inverse relationship: as distance downdrift increases, mean pebble a-axis length decreases.

Step 2: The magnitude 0.86 exceeds the critical value of 0.74 for n = 8 at the 5% level, so the correlation is unlikely to be due to chance and the null hypothesis of no relationship can be rejected.

Step 3: Explanation: material is transported by longshore drift and undergoes attrition, reducing size and rounding it. Larger pebbles are also deposited first as wave energy falls or are less easily moved, so smaller material dominates further downdrift. Alternatively, the headland may be the source of coarse eroded material, so size is greatest nearest the source.

Point marking, 2 marks (AO3 1, AO2 1).

Mark 1 (AO3): Correct interpretation of the statistic. Award for a strong negative (inverse) relationship between distance downdrift and pebble size, i.e. pebbles get smaller with distance. Accept 'significant at 5%' or 'unlikely to be due to chance' as supporting the interpretation, but the direction of the relationship must be clear. Do not award for 'positive' correlation or for stating that distance causes size change without reference to the data. Do not award for a statement of significance alone with no direction.

Mark 1 (AO2): One valid reason for the relationship. Could potentially include: attrition (pebbles collide and wear down during longshore drift); abrasion or rounding reducing size; selective transport or sorting, with larger clasts deposited first or less easily moved as wave energy falls; coarse source material from the headland erosion nearest the start; decreasing wave energy away from the headland. The reason must be linked to pebble size reducing downdrift. Accept a reason developed in a single clear sentence; do not award a bare process name (e.g. 'attrition') with no link to size.

No error carried forward is applicable. Maximum 2 marks.

Site A (west, updrift): height rose from 2.4 m to 3.1 m, a gain of 0.7 m. Longshore drift transports sediment eastwards; the groyne interrupts this movement, so sediment is deposited and accumulates against the structure.

Site B (east, downdrift): height fell from 2.5 m to 1.7 m, a loss of 0.8 m. Sediment supply is cut off by the groyne, so the sediment budget becomes negative; waves continue to remove material (erosion and drift onwards) but it is not replaced, so the beach is lowered.

The contrasting changes therefore show the groyne disrupting sediment transfer within the sediment cell.

Point marking, maximum 3 marks. Credit could potentially include the following; accept relevant alternatives.

1 mark: Valid use of Table 1 evidence for the change at either site, with a unit (e.g. Site A rises by 0.7 m / from 2.4 m to 3.1 m; Site B falls by 0.8 m / from 2.5 m to 1.7 m). Award once only, whether for A or B. Do not credit data quoted without any link to the groyne's effect.

1 mark: Explains the accumulation at Site A: the groyne traps or blocks sediment moved by longshore drift from the west, causing deposition on the updrift side.

1 mark: Explains the loss at Site B: sediment supply is cut off or reduced downdrift, so waves remove more sediment than is replaced (negative sediment budget / starvation of the beach).

Maximum 2 marks if only one site is explained. Do not credit statements that the groyne itself erodes the beach. Accept answers that do not use the phrase 'sediment budget' provided the idea is clear. Accept a calculated change within ±0.1 m of the stated values. No error carried forward is applied: a miscalculated change does not gain the first mark, but the explanatory marks may still be awarded independently.

Indicative approach (not a required plan):

Support for the statement: sea walls, revetments and rock armour reduce cliff or dune erosion and protect property and infrastructure on the managed frontage. Groynes trap longshore drift sediment, widening the updrift beach but starving the downdrift beach, which then erodes faster (a negative sediment budget). Sea walls reflect wave energy, causing beach scour and lowering beach levels; fixed cliffs no longer supply terrestrial sediment to the cell, so inputs fall. Rock structures can cause downdrift erosion, which may create pressure for further defences (a feedback or 'coastal squeeze' effect).

Qualifications: protection is not always effective (failure in storms, outflanking, overtopping, high maintenance cost and limited lifespan). Some structures, such as offshore breakwaters or well-designed groynes, may retain beaches that themselves absorb wave energy and so give protection. Disruption depends on the scale and the energy of the coast: it is more marked on high-energy, sediment-limited coasts with strong longshore drift than on low-energy coasts. Soft engineering (beach nourishment, dune stabilisation, managed realignment) can add sediment or restore natural flows, though nourishment needs repeated inputs. Shoreline management plans (hold the line, managed realignment, no active intervention) can work with the cell rather than against it. Human sediment sources such as nourishment may offset losses. Value judgements: protection of assets and communities versus long-term sustainability and cost-benefit.

Conclusion: a supported judgement on the extent of validity, e.g. largely valid for hold-the-line schemes on sediment-starved, high-energy coasts but less so where schemes are small-scale, combined with soft approaches or on low-energy coasts.

16 marks, best-fit levels. AO1 = knowledge and understanding of sediment cells, geomorphic processes and management; AO2 = application to case studies and evaluation of the statement. Marks for a sustained and coherent line of reasoning are integrated into the levels. Indicative content could potentially include the points in the solution; credit relevant alternatives, including other valid case-study evidence.

Level 4 (13-16 marks): Thorough, accurate knowledge of sediment cell dynamics (inputs, transfers, outputs, sediment budget) and of hard engineering. Case-study evidence is specific, accurate and well integrated (named location, specific structures, specific impacts). Evaluation is balanced and substantiated, considers the extent of validity (e.g. by energy level, type of structure, time scale, alternative approaches). Conclusion is a clear, supported judgement. Coherent, sustained reasoning throughout.

Level 3 (9-12 marks): Good knowledge and understanding, mostly accurate. Case study is used appropriately with some specific detail. Evaluation present on both sides but may be uneven or partly asserted. Judgement is reasonable and mostly supported. Line of reasoning is generally clear.

Level 2 (5-8 marks): Reasonable but partial knowledge, some inaccuracy. Case-study evidence is general or thin. Evaluation limited, mostly one-sided or descriptive; a conclusion is attempted but weakly supported. Some coherence.

Level 1 (1-4 marks): Basic, isolated points with limited accuracy. Little or no case-study reference; generic description of defences. Little or no evaluation; no supported judgement. Limited coherence.

0 marks: no creditworthy response.

Guidance: a response with no case-study reference cannot be placed above Level 2. Do not credit named sources not studied; accept any suitable 21st-century or earlier managed coastline chosen by the centre. Award the level first, then the mark within the level by the strength of the AO2 evaluation.

The table gives rainfall inputs and river discharge outputs only. Limitations arise from the sampling and from what is missing. Three possible limitations: (1) Only six months are shown, one year only, so seasonal patterns and unusual years cannot be separated. (2) A single valley-floor gauge is unlikely to represent rainfall across an upland basin, where precipitation usually increases with altitude, so total input is probably underestimated. (3) Discharge is a single midday reading each month, so flood peaks and diurnal change are missed. Further valid points: no data on evapotranspiration, infiltration, soil moisture, groundwater or snow storage, so changes in stores cannot be calculated directly; discharge at one site does not show flows within the basin; alternate months are missing.

3 marks: 1 mark for each distinct, valid limitation, up to a maximum of 3. Credit must be linked to the data or method in Table 1; a generic statement such as 'data may be inaccurate' with no link is not creditworthy. Indicative content could potentially include: data from one year only / not representative; only six months or alternate months shown, so gaps in the record; single rain gauge on the valley floor, so spatial variation and altitude effects missed; discharge measured once a month at midday, so peaks, storm response and diurnal variation missed; single discharge site; no data on evapotranspiration, infiltration, soil moisture, groundwater or snowmelt, so changes in stores cannot be calculated; no measure of human abstraction. Do not award two marks for the same idea expressed differently (for example 'one gauge' and 'only one location for rainfall'). Do not credit simple description of the table values. Credit relevant alternatives.

Each suggestion must be a practical management measure that links to permafrost stability or to carbon stores. One mark is for the suggestion and one mark for its development, explaining how it works or what the consequence is for permafrost, vegetation or carbon. Example: insulating gravel pads (1) reduces conduction of heat into the ground so the active layer stays shallow and peat and organic soil stay frozen, limiting decomposition and release of CO2 and methane (1). Example: use directional drilling from fewer pads (1) so a smaller area of vegetation and soil is cleared, keeping more carbon in stores and reducing disturbance and thaw (1).

4 marks: point marking, 2 x (suggestion [1] + development [1]).

Could potentially include: thicker gravel or insulated roads and pads; pipelines and buildings raised on piles; thermosyphons or ground-cooling devices; directional drilling from fewer pads to reduce the footprint; seasonal ice roads rather than permanent gravel roads; restricting vehicle movement to winter when the ground is frozen; restoring vegetation after construction; ongoing ground temperature monitoring with rapid repair; international or national agreements and regulations with environmental impact assessment.

Development must explain the mechanism or the outcome for permafrost, the active layer, vegetation, or carbon stores (for example less decomposition, less CO2 and methane released, positive feedback avoided).

Do not credit: a development with no valid initial suggestion; vague statements such as 'protect the environment' or 'stop drilling' without development; suggestions that reduce emissions elsewhere (e.g. burning less fuel) and not the impact on permafrost or carbon stores in the tundra. A second suggestion that repeats the same idea (e.g. two types of insulation) can be credited only once. Maximum 2 marks if only one suggestion is made.

(a) Change in storage = inputs - outputs. Year A: 1180 - (640 + 480 + 30) = 1180 - 1150 = +30 mm. Year B: 860 - (610 + 300 + 25) = 860 - 935 = -75 mm.
(b) Year A: a small net gain, so stores (soil moisture, groundwater) are slightly replenished; the system is close to dynamic equilibrium. Year B: a net loss, so stores are being depleted (a water deficit, e.g. drought year), the system is out of balance, with less runoff and possible stress on vegetation.
(c) Vegetation intercepts rainfall, reduces and delays runoff, and returns water to the atmosphere by transpiration (part of the evapotranspiration output in Table 1). Roots increase infiltration and soil storage. Through photosynthesis plants take CO2 from the atmosphere, using water, storing carbon in biomass and, via litter fall, in soil. Respiration and decomposition return carbon to the atmosphere. Water availability controls the rate of photosynthesis and decomposition, so drought (Year B) may reduce carbon uptake, stress or kill trees and release carbon through decay or fire: a possible positive feedback. Deforestation would reduce interception, transpiration and carbon storage while raising runoff. The two cycles are therefore interdependent, and the significance is that changes in one affect the other.

(a) [3 marks, AO3] 1 mark for a correct method (total inputs minus total outputs, or equivalent). 1 mark for Year A = +30 mm. 1 mark for Year B = -75 mm. The sign must be given or the gain/loss clearly stated; reject unsigned 75 as the loss unless it is stated to be a loss. The method mark may be awarded from clear working even if an arithmetic slip follows; no other error-carried-forward is applied, so each answer mark requires the correct value.
(b) [2 marks, AO2] Year A: small surplus / stores slightly increase / near equilibrium (1). Year B: deficit / stores depleted / system out of balance, for example drought conditions (1). Accept answers that refer to the open system receiving more or less input than output. Credit follow-through of the stated sign from a candidate's own (a) only if the interpretation is consistent with their figures.
(c) [5 marks, AO1 2, AO2 3] Best-fit levels.
Level 3 (4-5 marks): Thorough, accurate analysis explicitly linking the two cycles through vegetation, with at least two linkages developed (for example transpiration/interception with photosynthesis and carbon storage; water stress with reduced sequestration or increased carbon release) and some reference to the basin data or feedback/interdependence. Coherent line of reasoning.
Level 2 (2-3 marks): Reasonable explanation of the role of vegetation in either cycle with some link to the other; partially developed; limited application to the context.
Level 1 (1 mark): Basic, isolated statements, such as plants take in water or carbon dioxide, with no link between cycles.
0 marks: No creditable response.
Indicative content could potentially include: interception, transpiration, infiltration; photosynthesis, biomass and soil carbon stores; respiration, decomposition; water stress reducing photosynthesis; drought, fire and positive feedback; deforestation effects; interdependence and dynamic equilibrium. Credit other relevant alternatives.

Indicative approach (not a fixed plan).

Agreement (tundra altered more): tundra stores are small and in fragile dynamic equilibrium; low temperatures slow decomposition, so carbon is locked in permafrost and peat. Oil and gas infrastructure (roads, pipelines, drilling pads) disturbs the active layer, causes thermokarst, alters drainage and surface water storage, and releases CO2 and methane. Human-driven warming thaws permafrost, releasing stored carbon and creating a positive feedback; ground ice melt changes groundwater and surface lake stores. Recovery is very slow (short growing season), so change is long-lasting; thresholds may be crossed.

Disagreement (rainforest altered more): deforestation for farming, logging and mining directly removes the largest biomass carbon store, ends photosynthesis and increases combustion/decomposition emissions. Loss of vegetation reduces interception and transpiration, increases runoff, soil erosion and river discharge peaks, and reduces local precipitation recycling. The scale and rate of land-use change is typically larger and more widespread than tundra development, and tundra impacts are often spatially localised. Management (protected areas, REDD-style payments, sustainable farming; tundra regulation and monitoring) can reduce change.

Evaluation: the comparison depends on the measure (absolute size of store altered vs proportional change; direct vs indirect; short vs long term; reversibility). Interdependence of the cycles and feedbacks (tundra thaw affecting both water and carbon) could be used. A conclusion that weighs these with a clear judgement should reach the top level. Case-study detail (named location, figures, dates) should be accurate and from the 21st century where possible.

16 marks: AO1 = 6, AO2 = 10. Best-fit levels. Indicative content is possible, not prescriptive; credit relevant alternatives and any valid case study.

Level 4 (13-16 marks): Thorough, accurate knowledge and understanding of carbon and water stores/flows and human impacts in both case studies (AO1). Applies this to the statement with well-developed, coherent analysis, comparing both environments (AO2). Evaluates the extent of agreement using criteria such as scale, rate, directness, reversibility and feedbacks; reaches a substantiated judgement. Case-study evidence is specific and used well. Sustained, coherent line of reasoning.

Level 3 (9-12 marks): Good knowledge and understanding of both case studies, mostly accurate. Application is generally sound with some developed comparison. Evaluation is present and a judgement is made, but may be partly supported or unbalanced. Line of reasoning mostly coherent.

Level 2 (5-8 marks): Some knowledge and understanding, perhaps stronger for one environment, with limited case-study detail. Some application, mainly descriptive or asserted; limited comparison or evaluation. Conclusion is basic or only partly linked to the statement.

Level 1 (1-4 marks): Isolated or generic knowledge with little case-study evidence; little or no application to the statement; no valid judgement. Line of reasoning is limited.

0 marks: No creditable response.

Notes: Do not credit a response that covers only one environment beyond Level 2. Credit either conclusion if justified. Within a level, use the upper marks for accuracy and the specificity of evidence, and the lower marks where the response is imbalanced.

A strong answer uses one piece of evidence from Table 1 and explains a limitation of census-type data. Example: Table 1 shows Harbourside has much higher unemployment (12.4% against 3.8%) and poorer access to a GP (46% against 94%), so inequality appears clear. However, the percentages are neighbourhood averages and can conceal pockets of deprivation or wealth within each area (e.g. a wealthy street in Harbourside). They also give no sense of residents' lived experience, such as attachment to place, community support or feelings of exclusion, which informal representations such as interviews, blogs or photography could reveal. Finally, the census is collected only periodically, so the data may be out of date if regeneration or closures have changed either area.

3 marks, point marked: 1 mark for a valid limitation identified, plus up to 2 further marks for development and/or use of evidence from Table 1. Maximum 3.

Indicative content could potentially include (credit relevant alternatives):
- Averages/percentages hide variation within a neighbourhood, e.g. 21% degree-level may mask differences between streets (1) so the pattern of inequality may be more complex than the table suggests (1).
- Quantitative data omit perceptions and lived experience, e.g. sense of belonging, safety, community identity (1); qualitative sources such as interviews or social media would add this (1).
- Census is a snapshot taken at intervals and may be out of date (1); recent regeneration or de-industrialisation could have changed unemployment or renting rates (1).
- Limited range of indicators: nothing on income, health outcomes or crime, so inequality is only partly measured (1); selected indicators may be unrepresentative (1).
- Use of data as evidence, e.g. 12.4% against 3.8% unemployment or 46% against 94% GP access, as the context for a limitation (1).

Do not credit: a limitation with no link to inequality or to the table (e.g. simply 'data is wrong'); generic statements that the data are unreliable without reason; description of the differences alone with no limitation. A development mark requires an initial valid point. Award no marks for repeating the same limitation in different words.

A strong answer uses figures from Table 1 and links them to place concepts. Harbourside Quarter: a high proportion of young adults (54%), low owner-occupation (22%), high proportion born outside the UK (38%) and low length of residence (only 15% at the same address for 10+ years) point to a transient, rented, culturally diverse place. Residents may see it as an exciting, outward-looking place with global connections (flows of people and ideas) but may feel less rooted; attachment may be to lifestyle, amenities or social networks rather than to the locality itself. Millfield Green: older population (31% aged 65+), high owner-occupation (71%), few migrants (6%) and long residence (62%) suggest a stable, established community with shared history. Residents may have strong emotional attachment, sense of belonging and 'insider' perception, though outsiders could see it as insular or unchanging. The informal descriptions ("buzzing, creative" versus "quiet, friendly") show how identity (age, role as owner or tenant, ethnicity) shapes perception and how social media representations can reinforce place image. Evaluative touches: the same place can be perceived differently by different residents; census-type percentages are formal representations that cannot capture feelings; the quotations are selective and unrepresentative.

8 marks, best-fit levels. AO1 (3 marks): understanding of place perception, identity and emotional attachment. AO2/AO3 (5 marks): application of Table 1 evidence to explain differences.

Level 3 (6-8 marks): Thorough, well-developed explanation that links several specific pieces of Table 1 data (at least three, accurately quoted or compared) to perceptions AND attachment for both neighbourhoods; shows clear understanding of how identity factors (age, tenure, ethnicity, length of residence) shape perception; may recognise that informal representations reflect and reinforce perceptions or that data are limited. Coherent, sustained line of reasoning. Top of level (8): explicit balance across both places and both concepts, with some insight.

Level 2 (3-5 marks): Reasonable explanation; uses some data from Table 1 and makes developed links for at least one neighbourhood, but explanation of perception and attachment is partial, unbalanced or the data use is descriptive.

Level 1 (1-2 marks): Basic, generic statements about place or attachment with little or no reference to Table 1, or data listed with no explanation.

Level 0: No creditworthy response.

Indicative content could potentially include (credit relevant alternatives): high proportion of young people/renters/migrants giving a transient, diverse, dynamic place perception; older, settled owner-occupiers giving strong rootedness and nostalgia; length of residence and attachment; tenure and investment in place; insider/outsider perceptions; informal representations (social media) shaping place meaning versus formal data; limitations of census-type data. Do not credit simple copying of the table without explanation. No marks for named real places; fictional neighbourhoods only.

Time-space compression refers to the shrinking of relative distance caused by faster, cheaper transport and instant communication. Group 1 (e.g. older long-term residents): new high-speed rail or broadband links bring commuters, investors and chain businesses; familiar shops and gathering places are replaced, so residents may feel their attachment and identity is threatened and perceive the place as less distinctive or 'no longer theirs'. Group 2 (e.g. young professionals or tourists): they encounter the place first through blogs, photography and social media posts, forming an informal representation that is often selective or idealised; improved accessibility makes the place feel close and easy to visit or move to, so it is perceived as attractive and part of a wider network. Different identities (age, role, length of residence) therefore lead to contrasting perceptions of the same place, and connections can reinforce or weaken emotional attachment.

AO1 (2 marks) and AO2 (4 marks). Best-fit levels. Indicative content could potentially include: definition or understanding of time-space compression; changing flows of people, money, ideas; effect on residents' attachment and identity; effect on outsiders through media and informal representations; contrasting perceptions linked to identity (age, role, length of residence, etc.); formal versus informal representation. Credit relevant alternatives.

Level 3 (5-6 marks): Thorough, accurate understanding of how time-space compression changes perceptions. Two different groups are clearly identified and each has a developed, well-linked explanation (cause, change to perception, reason). Coherent line of reasoning throughout.
Level 2 (3-4 marks): Reasonable understanding. Two groups may be identified, but development is uneven, or one group is developed well and the other only partially. Some links to time-space compression.
Level 1 (1-2 marks): Basic understanding. Generic or list-like statements about globalisation or perception with little link to time-space compression or to specific groups; one group only or no development.
0 marks: No creditable response.

Notes: Maximum of Level 2 (4 marks) if only one group is referred to. Do not credit simple definitions of time-space compression alone beyond Level 1. Place-specific examples are not required but may support development.

A strong response would select a rebranded place (any 21st-century example the centre has studied) and give specific, accurate detail. Introduction: define rebranding (reimaging plus regeneration) and identify the players involved (local and national government, planners and architects, private developers, community groups).

Evidence FOR the statement could potentially include: new employment in services, creative or leisure sectors; improved built environment, public space and transport links; investment in housing, education and healthcare facilities; reduced crime and dereliction; improved external perception in media and formal representations, leading to local pride and stronger place attachment; community group involvement in placemaking.

Evidence AGAINST could potentially include: rising house prices and rents causing displacement of lower-income, older or long-term residents (gentrification); new jobs taken by in-commuters because of skills mismatch after de-industrialisation; loss of heritage, informal and cultural identity; the marketed image (formal, top-down representation) differing from residents' lived perception; uneven spatial benefits, with adjacent neighbourhoods remaining deprived; reliance on private investment and the risk of cyclical downturn.

Evaluation: compare groups (by age, income, tenure, ethnicity, role), short- versus long-term effects, the measured indicators (e.g. employment, housing and deprivation data) versus qualitative perceptions, and the influence of who controls the process. Conclusion: a supported judgement, such as partial agreement because improvements are real but unequally shared.

Assessment: AO1 (6 marks) knowledge and understanding of rebranding, regeneration, players and place meaning; AO2 (10 marks) application to the case study, analysis and evaluation leading to a judgement.

Total 16 marks: AO1 = 6, AO2 = 10. Use best fit across the whole answer; the quality of sustained, coherent line of reasoning is integrated in the levels. Indicative content is possible, not prescriptive; credit relevant alternatives and any valid rebranded place.

Level 4 (13-16 marks): Comprehensive/thorough. Accurate, detailed knowledge of rebranding and regeneration, securely applied to a clearly identified case study with specific place-based evidence (names, data, projects). Balanced analysis of benefits and costs for different groups of residents. Evaluation is explicit and substantiated, with a clear overall judgement on the extent of agreement. Coherent, sustained line of reasoning throughout.

Level 3 (9-12 marks): Reasonable to thorough. Mostly accurate knowledge; case study used with some specific detail. Analysis of both sides with some links to different groups. Some evaluation and a judgement that is partly supported. Line of reasoning generally clear.

Level 2 (5-8 marks): Basic to reasonable. Some accurate knowledge; case study detail limited or generic. Mainly descriptive, one-sided or listing of impacts; limited evaluation; judgement asserted or weakly supported.

Level 1 (1-4 marks): Basic. Isolated, simple points about regeneration or rebranding with little or no case study reference; little or no analysis or judgement; line of reasoning weak.

Level 0 (0 marks): No creditworthy response.

Guidance: Allocation within the level: 1 to 2 AO1 marks per level band for knowledge (e.g. up to 6 in total for accurate terminology, players, processes) and the remainder for AO2. Do not credit an unrelated place profile or a place that has not undergone rebranding beyond Level 1 for the application element. A response with no case study cannot exceed Level 2.

Indicative approach (not a prescribed plan).

Support for the view (receiving countries gain most): an AC case study could show migrants filling labour shortages in health, construction and agriculture; offsetting an ageing population and low birth rate; boosting the tax base and consumer demand; and gaining skilled workers whose training costs were met elsewhere. Border management and integration costs may be set against these gains. Sending LIDCs can suffer loss of skilled workers (for example health professionals), reduced human capital, family separation and dependence on external income.

Challenge to the view: remittances can be a large share of GDP in a LIDC or EDC, often exceeding aid or foreign investment, and are spent on food, education, health and housing, which raises household development levels and Human Development Index components. Reduced unemployment and underemployment in the origin, return migration with new skills and savings, and diaspora investment and trade networks are further benefits. Receiving countries may face pressure on housing and services, social tension, and political and border-policy conflict, so the gains are not uniform. Migrants themselves may be exploited, which raises questions of inequality and injustice.

Evaluation: weigh benefits by scale and by stakeholder (government, households, employers, migrants); consider time frame (brain drain versus later brain gain), selectivity of migration, South-South corridors and refugee movements, where receiving countries may be LIDCs or EDCs bearing the costs. A supported conclusion should judge the extent of agreement, for example that the view overstates the imbalance because remittances and skills return can offset losses, although the poorest sending countries with severe skilled-worker loss are most disadvantaged.

16 marks: AO1 = 6, AO2 = 10 (approximate split). Use best fit across the whole response. Sustained and coherent line of reasoning is integrated into the levels.

Level 4 (13-16 marks): Thorough and accurate knowledge and understanding of migration, its patterns and its impacts on both sending and receiving countries (AO1). Applies case studies of countries at different levels of development precisely and with detail (AO2). Evaluation is balanced and substantiated, considering different stakeholders, scales or time frames; reaches a clear, well-supported judgement on the extent of agreement. Line of reasoning is sustained and coherent throughout.

Level 3 (9-12 marks): Good knowledge and understanding, with generally accurate use of case studies. Analysis of both sides is developed but may be uneven. Evaluation is evident and a judgement is reached, but it is only partly substantiated. Line of reasoning is mostly coherent.

Level 2 (5-8 marks): Reasonable knowledge with some relevant case-study detail, which may be generic or imbalanced. Some analysis, mostly describing benefits and costs with limited evaluation. Judgement is simple or asserted. Line of reasoning is partly developed.

Level 1 (1-4 marks): Basic, isolated points about migration with little or no case-study evidence. Little or no evaluation; any conclusion is unsupported. Limited coherence.

Level 0: No creditable response.

Indicative content could potentially include: remittances and their uses; loss of skilled workers; labour shortages and ageing populations in ACs; border issues and integration costs; return migration; diaspora networks; HDI links; South-South corridors; refugees. Credit relevant alternatives and case studies chosen by the centre. Accept any valid AC, EDC or LIDC examples. Cap at Level 2 if only one case study or none is used, and cap at Level 3 if the response is one-sided with no evaluation of the stated view.

A strong answer gives a judgement with two developed points. Strengths: circle area varies with the number of people, so differences in scale between countries are obvious at a glance and the map shows absolute values, so clusters of high numbers can be identified quickly; a single colour avoids implying categories and keeps the focus on size. Limitations: overlap of the largest circles hides parts of neighbouring symbols and makes their values and locations unclear; with no values labelled, readers cannot judge exact numbers because people struggle to estimate area; the symbols show absolute numbers not rates, so populous countries appear worse even if prevalence per 1 000 people is lower; the capital-city location can suggest forced labour occurs there rather than across the country, and without borders it is hard to match circles to countries; estimates of a hidden crime are uncertain, but the precise circle size suggests accuracy. Overall judgement: effective for a broad, quick comparison of scale, less effective for accurate comparison or for explaining patterns.

4 marks: point marking, 2 points each worth 2 marks (1 mark for a valid point about effectiveness, 1 mark for development or reference to Fig. 9). Credit may be given for two strengths, two limitations or one of each; an overall judgement is not required but a developed point that implies one may be credited.

Indicative content could potentially include:
- Strength: circle area shows relative scale, so largest concentrations are seen immediately (1) because size is proportional to the numbers affected, allowing quick comparison between countries (1).
- Strength: one colour keeps attention on magnitude and shows absolute numbers (1), so the countries with most people affected are easily located (1).
- Limitation: overlapping circles obscure neighbouring symbols (1), so some values cannot be read or compared (1).
- Limitation: no labelled values or borders (1), so exact numbers and country identification are difficult and area is hard to judge accurately (1).
- Limitation: absolute numbers not rates (1), so populous countries seem worse without population context (1).
- Limitation: capital-city placement (1), which may misrepresent where forced labour occurs within the country (1).
- Limitation: precise-looking symbols (1) hide uncertainty in estimates of a hidden crime (1).

Credit relevant alternatives. Do not credit generic comments that are not linked to proportional circles or Fig. 9 (e.g. 'it is clear'), or repetition of the same limitation. Maximum 2 marks for strengths only if only a single point is made. No error-carried-forward applies.

A strong response identifies several distinct roles of NGOs and analyses how each contributes to promotion (raising awareness, education, campaigning) or protection (monitoring, legal assistance, direct support). For example, an NGO documenting forced labour in a supply chain produces evidence that is passed to UN bodies or a national government, which may lead to sanctions, prosecutions or changed laws; this links the NGO's local-scale action to wider scales of governance. Development might also show that NGOs lack enforcement power and depend on funding and on state permission to operate, so their effect varies between places.

AO1 (knowledge and understanding) 2 marks; AO2 (application and analysis) 3 marks. Use best fit levels.

Level 1 (1 mark): Basic. One or two simple, generic statements about NGOs (e.g. 'they help people', 'they raise awareness') with little or no link to human rights.

Level 2 (2-3 marks): Reasonable. Identifies at least one valid role of NGOs in promoting or protecting rights, with some development or a relevant example. Analysis is partial or one-sided; links between role and outcome are asserted rather than explained.

Level 3 (4-5 marks): Thorough. Analyses two or more roles of NGOs, with accurate and specific supporting detail (a named or described NGO, campaign or country context is creditable; no specific NGO is prescribed). Explains how the role leads to change in rights, or shows relationships with the UN or national governments, or recognises limitations. 5 marks for a coherent, well-developed analysis, 4 marks where analysis is thorough but less balanced or less developed.

The following could potentially include (credit relevant alternatives): monitoring and reporting abuses; campaigning and lobbying; providing legal aid, refuge, education or health support; acting as intermediaries between local communities and global institutions; filling gaps where governments are unable or unwilling to act; limitations such as funding dependence, restricted access, lack of enforcement power. Do not credit roles of the UN or governments unless linked to NGO action. No marks for descriptions of rights violations that are not linked to NGO roles.

A strong response names one country and uses accurate, specific evidence. Social/cultural factors could include patriarchal norms, customary or religious law, early marriage, and attitudes to girls' schooling, which vary between regions, ethnic groups and urban/rural settings. Economic factors could include unequal access to paid work, land ownership and credit, the gender pay gap, reliance on informal or agricultural work, and poverty restricting girls' schooling. Political factors could include the proportion of women in the legislature, quotas, the strength of equality legislation and its enforcement, and whether the government has ratified international treaties and is held to them by NGOs. Explanation should link factors to outcomes, e.g. weak enforcement in remote regions means national laws do not deliver equal rights locally, so rights vary spatially. Higher responses recognise that the factors interact and that their influence differs between groups or places.

AO1 (3 marks) and AO2 (5 marks). Use best-fit levels.

Level 3 (7-8 marks): Thorough, accurate knowledge of a specific country with precise evidence (data, laws, regions or groups named). Thorough explanation of how social, economic and political factors each lead to variations in women's rights, with clear links between cause and variation. Interactions between factors or differences between places or groups may be recognised. Coherent, well-developed reasoning.

Level 2 (4-6 marks): Reasonable knowledge of the country. Reasonable explanation of at least two factor types, with some links to variation in rights. Evidence may be partly generalised. Some development of points.

Level 1 (1-3 marks): Basic, generalised knowledge. Simple statements of factors with little or no explanation of variation, or little reference to a country. Mainly descriptive.

Level 0 (0 marks): No creditworthy response.

Indicative content could potentially include: patriarchal norms, customary or religious law, urban-rural differences in schooling, unequal land ownership and access to credit, the pay gap, informal employment, women's political representation and quotas, legislative reform and weak enforcement, ratification of treaties, and the influence of NGOs. Credit relevant alternatives. Do not credit a response that gives no country context beyond Level 1. Where factors are described without any link to variation in rights, cap at Level 1 to the lower end of Level 2.

The question asks for weaknesses of the data as evidence of global warming, not for an explanation of warming. Three distinct limitations drawn from the table are enough. Example: (1) The sample is four stations in one upland region, so it is not representative of global temperature. (2) Stations B and D began after 1900, so the 1900–1929 baseline cannot have come from them and their changes are not directly comparable. (3) The move of station A and the urban growth around station C may have changed the readings independently of climate (urban heat island effect).

Point marking: 1 mark for each distinct valid limitation, up to 3 marks. Maximum 3.

Indicative content could potentially include:
- small sample (four stations) and a single region, so not global or representative
- records start at different dates (B 1931, D 1948), so the baseline is not consistent
- station relocation at A in 1958 may create a discontinuity
- urban growth around C may inflate warming through a local heat island effect
- land use around B (farmland) may influence local temperature
- volunteer observations at D may be less reliable or consistent
- the large altitude range (95–1150 m) makes the stations hard to compare
- only the change for one 30-year period is given, so the long-term trend and natural variability cannot be seen
- no data on oceans, which cover most of the Earth

Accept other valid relevant limitations. Do not credit two answers that make the same point in different words. Do not credit generic comments with no link to the table, e.g. 'the data might be wrong'. Do not credit a limitation of climate change theory rather than of the data.

Risk depends on hazard, exposure and vulnerability, but the table gives only deaths. Three distinct limitations are needed. Example: (1) Only five events are shown, so a fall in deaths could be coincidence. (2) The earthquakes differ in magnitude and depth, so the hazard differs and the deaths cannot be compared fairly. (3) The figures come from different sources, including a newspaper estimate, so reliability and counting methods vary.

Point marking: 1 mark for each distinct valid limitation, up to 3 marks. Maximum 3.

Indicative content could potentially include:
- small sample of five events, so no reliable trend
- events differ in magnitude and depth, so the hazard is not constant
- no data on population size or density, so deaths cannot be related to exposure
- deaths only; injuries, economic damage and displacement are not shown
- sources vary (newspaper, aid agency, government), so reliability and definitions of 'death' may differ
- no information on where each earthquake struck (urban or rural) or on time of day
- no information on building codes, warning systems or other changes in vulnerability and response
- gaps of 10 to 20 years between events, so changes in between are not shown

Accept other valid relevant limitations. Do not credit two answers making the same point. Do not credit statements about the trend itself, e.g. 'deaths have fallen', as these are not limitations.

Milankovitch cycles are regular changes in Earth-Sun geometry that alter the amount and seasonal distribution of incoming solar radiation (insolation) without changing the Sun's output. Eccentricity: the orbit shifts from near-circular to more elliptical over roughly 100,000 years, changing the Earth-Sun distance and the total energy received. Axial tilt (obliquity): the tilt varies between about 22.1 and 24.5 degrees over roughly 41,000 years; a smaller tilt reduces seasonal contrast, giving cooler summers at high latitudes. Precession: the wobble of the axis (about 23,000 years) changes which hemisphere is tilted towards the Sun at perihelion. Development: when these combine to produce cool northern hemisphere summers, winter snow does not fully melt, accumulates and compacts to ice, and the ice sheets expand. Feedbacks amplify the small initial change: greater ice and snow cover increases albedo, so more radiation is reflected; cooler oceans absorb more CO2, weakening the greenhouse effect. When the cycles combine to give warmer high-latitude summers, ice melts, albedo falls and CO2 is released, so an interglacial follows.

Best-fit levels, 6 marks. AO1 (knowledge of Milankovitch cycles) and AO2 (application to glacial-interglacial change) are both credited within the level.

Level 3 (5-6 marks): Thorough, accurate explanation. At least two cycles are explained with correct effect on insolation (amount or seasonal distribution) AND the explanation is developed through to ice sheet growth or retreat, with reference to feedbacks (e.g. albedo, CO2 uptake/release). Coherent chain of reasoning.
Level 2 (3-4 marks): Reasonable explanation. One or two cycles described with some link to changing insolation or temperature; development to glacial/interglacial change is partial or one-directional. Feedbacks absent or only asserted.
Level 1 (1-2 marks): Basic. Generic statements that orbital changes alter climate, or a list of cycle names/periods, with little or no explanation of mechanism.
0 marks: no creditable response.

Indicative content could potentially include: eccentricity (c. 100,000 years) changes total energy received; obliquity (c. 41,000 years; about 22.1-24.5 degrees) changes seasonal contrast; precession (c. 23,000 years) changes timing of seasons relative to orbital position; cool high-latitude summers let snow persist and ice sheets grow; positive feedbacks through albedo and CO2; reverse process in warm summers. Credit relevant alternatives. Do not credit confusion with the enhanced greenhouse effect or sunspot/solar-output variation as the main cause. Approximate periods may be accepted if within a reasonable range.

Risk depends on hazard, vulnerability and capacity to cope, not magnitude alone. In a low-income country many buildings are unreinforced masonry or concrete built without seismic codes, or enforcement is weak through corruption or lack of inspectors, so buildings collapse and trap people. Rapid urbanisation produces dense informal settlements on steep or unstable ground, increasing exposure and the likelihood of landslides and liquefaction. After the event, limited emergency services, equipment, hospitals and transport links delay rescue and treatment, so more of the injured die in the critical first 72 hours. Poverty restricts preparedness (few drills, public education or monitoring) and the ability to fund recovery, so secondary impacts such as disease from contaminated water raise the death toll. In a high-income country, the same earthquake meets enforced building codes, base isolation and cross-bracing, public drills, alert systems, well-equipped rescue teams, hospitals and insurance, so vulnerability is lower and the hazard is less likely to become a disaster, as the Park model of the relationship between disaster and response also implies.

Best-fit levels, 6 marks. AO1 (knowledge of vulnerability and response) and AO2 (application to the contrast between countries) are both credited within the level.

Level 3 (5-6 marks): Thorough explanation that is clearly comparative. Several developed reasons (e.g. building standards and enforcement, population density/settlement location, emergency and medical capacity, preparedness, recovery funding) are explicitly linked to differences in death toll. Accurate use of terms such as vulnerability, capacity to cope or risk. Coherent reasoning.
Level 2 (3-4 marks): Reasonable explanation. Two or more reasons with some development, but comparison with the high-income country is implicit or unbalanced, or links to loss of life are partial.
Level 1 (1-2 marks): Basic. Simple assertions such as 'poorer countries have worse buildings' or 'less money', with little development or explanation of loss of life.
0 marks: no creditable response.

Indicative content could potentially include: building codes and enforcement; informal housing and urban density; location on unstable ground; speed and quality of rescue and healthcare; education, drills and warning systems; limited funding for recovery; secondary hazards and disease; reference to the Park model or hazard-risk-vulnerability ideas. Credit relevant alternatives and valid named examples, but examples are not required. Do not credit differences in earthquake magnitude, since this is held constant in the question.

Indicative approach: (1) Define response as mitigation and adaptation. (2) Argue that development matters: an AC or higher-income EDC may fund renewable energy, carbon trading, sea defences and monitoring, and may have strong institutions; a LIDC may face limited finance, reliance on agriculture, and greater vulnerability, and may depend on international aid. (3) Challenge determinism: some AC governments have high per-capita emissions and weak political will or are affected by geopolitics and lobbying; some EDCs or LIDCs adopt community-based adaptation, afforestation or low-carbon leapfrogging at low cost. Emitters differ from the vulnerable, so effectiveness may be judged by emissions cuts or by resilience outcomes. (4) Synoptic links could potentially include: carbon sequestration through forest protection and wetland restoration (carbon cycle); sea-level rise and the costs of coastal defence or managed retreat (coastal landscapes); attachment to place and displacement of communities (changing places); the role of the United Nations and NGOs. (5) Judgement: development is an enabling factor, not the sole determinant; political governance, scale of exposure, international support and public engagement also matter. Credit a justified conclusion.

12 marks: AO1 4, AO2 8 (approximate split). Best-fit levels; the answer is marked as a whole, including the quality of the line of reasoning.

Level 4 (10-12 marks): Thorough, accurate knowledge of climate responses, supported by well-chosen evidence from two countries at different stages of development. Clear and sustained evaluation of how far development determines effectiveness, considering other factors. Synoptic link(s) to another part of the course are integrated, accurate and relevant to the argument. Substantiated, balanced conclusion.

Level 3 (7-9 marks): Reasonable knowledge and application, with some specific evidence. Some evaluation with a partly supported judgement. Synoptic link present but not fully integrated.

Level 2 (4-6 marks): Basic to reasonable knowledge, mostly generic. Limited evaluation; one-sided or descriptive. Synoptic link is brief or superficial.

Level 1 (1-3 marks): Isolated, simple points about climate change with little relevance to the question. No judgement or synoptic link.

0 marks: no creditable response.

Indicative content could potentially include the points in the solution; accept other valid alternatives and valid case studies of the candidate's choice. Do not credit a named example that is wrongly described. A response with no synoptic link cannot exceed the top of Level 3 (9 marks).

Indicative approach: (1) Risk can be considered as hazard, vulnerability and capacity to cope; the Park model shows that the disaster response affects recovery time. (2) Hazard management: the hazard cannot be prevented, but its effects can be reduced by monitoring and prediction (seismometers, volcano alert levels), earthquake-resistant building design and lava or lahar diversion. These are effective where finance and enforcement exist. (3) People management: education, drills, evacuation planning, insurance, community-based preparedness, land-use planning and reducing poverty and informal settlement. Vulnerability explains why similar events cause very different losses in countries at contrasting levels of development. (4) Contrast two countries: an AC with strict building codes and low death tolls against a LIDC or EDC with limited enforcement, dense settlement and slow recovery. (5) Synoptic links could potentially include: migration to tectonically active cities and the resulting exposure; displacement and refugees after disasters, plus remittances supporting recovery; attachment to place and refusal to relocate; rights to safe housing and aid, and the role of the United Nations and NGOs. (6) Judgement: both are needed and are interdependent, but where hazards cannot be controlled the human factor is often the greater determinant of loss. Credit a reasoned alternative conclusion.

12 marks: AO1 4, AO2 8 (approximate split). Best-fit levels; the answer is marked as a whole, including the quality of the line of reasoning.

Level 4 (10-12 marks): Thorough, accurate knowledge of tectonic risk management, supported by detailed evidence from two countries at contrasting levels of development. Sustained evaluation of the relative importance of hazard and people management, leading to a substantiated judgement. Synoptic link(s) to another part of the course are accurate, relevant and integrated.

Level 3 (7-9 marks): Reasonable knowledge with some specific evidence. Some evaluation, with a judgement that is only partly supported. Synoptic link present but not fully integrated.

Level 2 (4-6 marks): Basic to reasonable knowledge, largely generic or descriptive. Limited evaluation. Synoptic link brief or superficial.

Level 1 (1-3 marks): Isolated, simple points about tectonic hazards with little reference to the proposition. No judgement or synoptic link.

0 marks: no creditable response.

Indicative content could potentially include the points in the solution; credit relevant alternatives and candidates' own valid case studies. A response with no synoptic link cannot exceed the top of Level 3 (9 marks).

Indicative approach (not a prescribed plan). Introduction: define adaptation (adjusting to actual or expected impacts, e.g. sea walls, drought-tolerant crops, early warning) and mitigation (reducing emissions or enhancing sinks, e.g. renewables, carbon pricing, afforestation). Case studies could potentially include an AC and an EDC or LIDC, chosen by the centre, with accurate and place-specific detail.

Case for prioritising adaptation: impacts are already occurring because of past emissions and committed warming; adaptation delivers local, short-term and visible benefits; vulnerable countries with low historic emissions gain little from their own mitigation; low-income countries may have high exposure (coastal flooding, drought, food insecurity) and need resilience now; adaptation is often bottom-up and affordable at community scale.

Case for prioritising mitigation: without emissions cuts, thresholds and positive feedbacks (ice-albedo, permafrost methane release) may make adaptation impossible or prohibitively costly; mitigation addresses causes and benefits all countries; large emitters (AC and large EDC) carry most responsibility; mitigation can bring co-benefits such as energy security and air quality; the global mean energy balance remains disrupted while emissions continue.

Evaluation: the relative priority differs by development stage, capacity, emissions profile and exposure; costs, finance, technology transfer and equity (responsibility versus vulnerability); geopolitics of the international response, free-riding, differing national interests; limits of adaptation; time lags in the climate system; the approaches are complementary and the debate is a false dichotomy to some extent. A conclusion should give a judgement that is substantiated by the case evidence, e.g. adaptation prioritised in the more vulnerable and lower-capacity country, mitigation in the higher-emitting, higher-capacity one.

33 marks: AO1 = 10 marks, AO2 = 23 marks (AO3 is not separately credited in this essay beyond use of evidence). Best-fit levels; the quality of the sustained, coherent line of reasoning is integrated in the criteria and assessed across the whole answer.

Level 4 (Thorough/comprehensive, 27-33): accurate, detailed knowledge and understanding of adaptation, mitigation and the two case studies; applied precisely and with balance to the question; an evaluation that weighs the competing cases (e.g. vulnerability, capacity, timescales, feedbacks, equity, geopolitics); a clear, well-substantiated judgement on the extent of priority; a coherent, sustained line of reasoning throughout.
Level 3 (Reasonable-thorough, 19-26): mostly accurate knowledge with generally detailed case evidence; clear application and some balanced evaluation; a judgement that is supported but not fully developed; a mostly coherent line of reasoning.
Level 2 (Reasonable, 10-18): some accurate knowledge, with case studies that are partly developed or generalised; partial application and limited evaluation; a judgement that is asserted or weakly supported; some structure.
Level 1 (Basic, 1-9): isolated or generic points; little or no case-study detail; description rather than evaluation; little or no judgement; limited coherence.
Level 0: 0 marks, no creditable response.

Indicative content could potentially include the points in the solution; credit relevant alternatives and any appropriate case studies. Do not require specific named countries. Both case studies must be at different stages of development for the top level; if only one is used, cap at Level 3. Do not penalise a response for arguing either side if it is well supported.

Indicative approach (not a prescribed plan). Introduction: risk as a function of hazard, exposure, vulnerability and capacity; the view that risk has changed over time as population growth and urbanisation in hazardous zones increase exposure, while preparedness, monitoring and design reduce vulnerability. Case studies could potentially include one higher-income country and one lower-income country, each with an earthquake or volcanic event or hazard setting, chosen by the centre.

Support for education and planning: community preparedness (drills, awareness campaigns, evacuation routes) reduces casualties at low cost; land-use zoning and enforced building codes lower vulnerability; planning supports resilience and the response phase of the Park model (shortening the recovery curve); bottom-up and grassroots approaches are sustainable where finance is limited; technology is ineffective if people do not understand warnings or if buildings are not regulated.

Support for technology: monitoring, seismometers and tiltmeters, GPS and satellite data; warning systems that give seconds or days of notice; earthquake-resistant engineering (base isolation, cross-bracing), lava diversion; faster communication and emergency response; in some cases technology enables prediction of volcanic eruptions better than earthquakes.

Evaluation: earthquakes cannot be reliably predicted, so planning and design matter most; volcanoes are more amenable to monitoring; technology is expensive and unequal between developed and developing countries; corruption, poverty and weak governance limit planning enforcement; informal settlements; the two approaches complement each other; success depends on the context and the magnitude of the event. The conclusion should give a reasoned judgement supported by case evidence, e.g. contrasting how a high-capacity country combines technology and building regulation, whereas a low-capacity country relies more on education and community-level measures.

33 marks: AO1 = 10 marks, AO2 = 23 marks. Best-fit levels; the quality of the sustained, coherent line of reasoning is integrated in the criteria and assessed across the whole answer.

Level 4 (Thorough/comprehensive, 27-33): accurate, detailed knowledge and understanding of tectonic hazards, risk, and measures to cope, with precise, specific evidence from two contrasting countries; applied directly to the proposition with balance; evaluation that weighs education and planning against technology (e.g. cost, capacity, governance, hazard type, prediction limits, Park model); a clear, substantiated judgement on the extent of agreement; a coherent, sustained line of reasoning.
Level 3 (Reasonable-thorough, 19-26): mostly accurate knowledge with generally detailed case evidence; clear application and some balanced evaluation; a supported but not fully developed judgement; mostly coherent reasoning.
Level 2 (Reasonable, 10-18): some accurate knowledge, with case studies that are partly developed or generalised; partial application and limited evaluation; a judgement that is asserted or weakly supported.
Level 1 (Basic, 1-9): isolated or generic points; little or no case detail; description with little evaluation or judgement; limited coherence.
Level 0: 0 marks, no creditable response.

Indicative content could potentially include the points in the solution; credit relevant alternatives and any appropriate case studies (centre's choice). Both countries must be at contrasting levels of development for the top level; if only one is used, cap at Level 3. Do not penalise either side of the argument if well supported.