Mr Kidman's Classroom
Revise the key ideas
Analysing situations of criminality
- Begin with the conduct and context — Identify what is described, what is alleged and what remains unknown before applying a theory. Separate an offence against a person, an acquisitive offence (an offence aimed at obtaining money or property), corporate conduct and an act involving technology where appropriate. A theoretical explanation is not a legal finding of guilt, and an account of causes does not automatically excuse harm.
- Mechanism before label — Name the relevant concept, explain how it could operate in the case and connect it to a specific detail. Saying this is strain or this is learning merely labels a situation. A useful application identifies the pressure, model, opportunity or reaction and states what further evidence would test that explanation.
- Fictional acquisitive case — In an invented case, a person strongly values financial status, faces restricted approved opportunities and learns a fraud method from admired peers. Strain can address goals and means, social learning can address acquired methods and expectations, and opportunity analysis can address access to a target. These mechanisms can coexist without the story proving any one theory correct.
- Fictional violence case — In a fictional assault scenario, observed peer rewards, perceived threat, emotional response and immediate opportunity may matter. A learning account needs evidence of models and consequences; a personality account needs valid measurement beyond calling the person aggressive. Do not infer chromosomes, unconscious conflict or diagnosis from the offence alone.
- Fictional corporate case — An invented company rewards managers for reducing costs while weak oversight allows deliberate concealment of prohibited pollution. A conflict account can examine profit incentives and power; learning can examine rewarded practices; choice can examine perceived detection and sanctions. Organisational evidence, instructions and decisions are needed rather than assuming every employee shares the same motive.
- Fictional repeated-offending case — A fictional person loses legitimate opportunities after a public criminal label and develops relationships within an offending network. Labelling can explain how reaction contributes to a trajectory, while learning and opportunity can explain later conduct. Establish the sequence and consider support or resistance; the label does not make reoffending inevitable.
- Individual and group variation — People in similar circumstances can respond differently because exposure, resources, relationships, interpretation and opportunity vary. A group-level association is not a reliable prediction of an individual case. Compare both the pattern and exceptions instead of treating the first matching detail as proof of a universal cause.
- Corroborating an explanation — Useful evidence could include a documented sequence, appropriately obtained interviews, valid measures, records and comparison cases. Different sources answer different questions and may have interests or gaps. Do not manufacture a person's motive or use a fictional teaching vignette as if it were an independently verified case history.
Evaluating explanatory effectiveness
- Specify what the theory explains — A theory may explain acquisition of a method, motivation, an immediate opportunity, the creation of a legal category or the consequences of labelling. These are different targets. Judge it against its actual claim before criticising it for failing to answer a question it was not designed to address.
- Testable predictions and alternatives — Ask what observations would support or challenge the proposed mechanism. Compare an explanation with plausible alternatives, not an obviously absurd straw opponent. If every possible result can be reinterpreted as confirming the theory, its apparent explanatory power may conceal weak testability.
- Association and causal inference — An association between a trait and convictions can reflect influence, reverse influence, common causes or selection through the justice system. Evidence of temporal order helps but does not remove every alternative. A causal judgement needs a suitable design and qualified reasoning rather than a confident phrase such as science proves it.
- Evaluate the measure — Check whether the study measures aggression, self-reported offending, arrest, conviction, fear or another outcome. A change in one is not automatically a change in all the others. An intervention increasing trust might increase reports while reducing hidden harm; the indicator needs interpretation within its collection process.
- Research design and generalisation — Controlled experiments can strengthen a particular causal comparison but may simplify real life; observational and historical research can capture context but have more confounding challenges. Assess the actual study rather than ranking every method universally. A finding from a selected institution or one period needs justification before extending to another population or offence.
- Reductionism and integration — A reductionist account explains a complex outcome through a narrow level or factor; it may clarify one mechanism while overlooking others. Combining theories can improve explanation if their roles and evidence are specified, but simply listing every factor creates an account that is difficult to test. Explain how levels interact and where claims conflict.
- Agency, structure and responsibility — Structural constraints can shape opportunities without removing all agency, while attention to individual decisions need not deny inequality. Explaining an offence and determining legal or moral responsibility are related but distinct activities. Do not use a theory either to excuse every act automatically or to dismiss all relevant circumstances.
- Balanced evaluation — For each theory explain a contribution, a limitation, supporting or challenging evidence and its relevance to the specified offence. A qualified judgement might find learning useful for acquired methods but incomplete for institutional rule making. Evaluation is strongest when its conclusion follows from actual analysis rather than equal-length lists of generic strengths and weaknesses.
Theories and policy development
- From explanation to intervention — A policy recommendation needs a chain from the proposed cause to a practical intervention, then to a measurable outcome. If a theory emphasises blocked opportunity, a policy might address access; if it emphasises immediate opportunity, a policy might alter the setting. A plausible theoretical link is a rationale to test, not proof that the intervention works.
A theory informs an intervention rationale, but implementation and outcome evidence still need assessment. Alternatives, costs, access and fairness are relevant throughout. An announced policy or plausible theory does not establish a causal benefit. - Formal and informal policy making — Formal policy involves authorised institutional decisions such as legislation, official guidance or an agreed service procedure. Informal policy making can involve routines, expectations, professional judgement or community arrangements that influence action without the same formal status. State who has authority and how the proposed change becomes practice.
- Biological explanations and policy limits — Biological accounts might motivate research or individually appropriate support for relevant developmental needs. They do not justify identifying offenders from appearance, compulsory punishment based on a genetic characteristic or assuming that family history establishes guilt. An intervention needs valid evidence, consent where relevant, proportionate safeguards and an account of its actual target.
- Learning explanations and intervention — If observed rewards and acquired techniques contribute to offending, interventions might change reinforcement, support prosocial models or develop relevant skills. Evaluate whether the programme changes the proposed mechanism and whether effects extend beyond a short session. An association between attendance and lower reoffending may reflect who participates unless selection is addressed.
- Individual support and assessment — Personality or psychodynamic accounts can suggest attention to individual needs and the meaning of behaviour, but a theoretical category is not an adequate diagnosis or an intervention plan. Appropriate assessment and evidence matter, and confidentiality and rights remain relevant. Revision scenarios do not authorise a learner to diagnose, counsel or experiment on classmates.
- Structural and community responses — Policies informed by structural or left-realist ideas may address exclusion, opportunity, representation and support alongside crime control. The intended pathway might involve stronger legitimate routes, trusted reporting or local problem solving. Such broad programmes need clear objectives and implementation evidence; reducing inequality and reducing a specific offence are not automatically identical measures.
- Labelling and diversion — Labelling arguments can support avoiding unnecessary stigmatisation and preserving legitimate opportunities through proportionate diversion (using a suitable alternative route to ordinary prosecution or punishment) or reintegration (supporting a return to lawful social participation). Assess who is eligible, how victims' interests and fairness are addressed and whether the response reduces harmful trajectories. Diversion is not the assertion that no conduct matters or that every formal response must be abandoned.
- Deterrence, certainty and perceived choice — Choice-based policy can aim to alter perceived risks, effort, rewards or consequences. A sanction's severity does not guarantee deterrence if people do not know about it, expect detection or act after careful calculation. Distinguish the legal availability of a punishment from evidence that it changes decisions in the target context.
- Situational prevention and guardianship — Changes such as access control, suitable lighting, capable oversight and secure storage can reduce opportunities for a specified offence. They require a practical account of use, maintenance, access and fairness. Evaluate whether opportunities were reduced or moved, while keeping responsibility for offending with the offender rather than blaming people targeted.
- CCTV mechanisms and evidence — CCTV can deter some conduct when offenders expect a response, support monitoring or provide evidence after an incident. Those are distinct mechanisms; a recording cannot prevent harm simply by existing. College of Policing guidance treats surveillance as one situational measure and stresses fit-for-purpose recordings for investigation, so evaluate location, coverage, monitoring, response and complementary measures.
Sources: College of Policing situational-prevention guidance.
- CCTV limitations and evaluation — A camera may miss an event, produce poor-quality images or be unmonitored; visible coverage may shift behaviour elsewhere. Privacy, lawful use, cost and unequal exposure also matter. Compare outcomes in the relevant setting against an appropriate baseline or comparison rather than claiming all camera installations have one universal effect.
- Zero tolerance and disorder — Zero-tolerance arguments connect aggressive enforcement of minor disorder with hoped-for reductions in wider crime. Distinguish this from targeted problem solving, community engagement or careful hot-spot work. College of Policing evidence summaries caution against treating aggressive order maintenance as an effective general strategy; the label must not absorb every successful policing initiative.
Sources: College of Policing evidence summary.
- Evaluating a New York claim — A crime decline occurring during a named policing approach does not alone establish that the approach caused the decline. Changes in resources, practices, population, economic conditions and wider trends can overlap. Define the actual intervention and comparison, and consider legitimacy, discriminatory burdens and displacement as well as the headline count.
- Restorative justice — Restorative processes can bring those harmed and those responsible into a structured process addressing harm, responsibility and possible repair, with appropriate safeguards and willing participation. Conferencing is one form rather than a synonym for every restorative activity. It does not automatically replace all criminal proceedings or require a victim to forgive an offender.
- Restorative evidence and limits — College of Policing summaries identify evidence of reduced reoffending in evaluated conferencing programmes and discuss victim-related outcomes. Interpret findings within eligibility, willingness to participate, facilitation, offence context and follow-up. A favourable average effect does not guarantee benefit in every case or justify pressured participation, unsafe contact or universal claims of forgiveness.
- Multi-agency responses — Police, schools, health, housing, social services and voluntary organisations can address different parts of a problem through coordinated responsibilities. The benefit depends on a clear purpose, appropriate information sharing and actual capacity. More agencies do not automatically mean better support: duplication, incompatible thresholds and unclear accountability can leave gaps.
- Penal populism — Penal populism describes policy appeals to public punitive sentiment, often through claims to speak for ordinary people against experts or institutions. A popular proposal can still be effective, ineffective, fair or unfair; the label does not decide the evidence. Assess the mechanism and consequences rather than treating electoral support as proof of deterrence.
- Evaluate implementation and outcomes — Separate an announced policy, its actual delivery and its effects. A programme may fail because its mechanism is wrong, its implementation is weak or the context differs from the evaluation setting. Record costs, access, unintended effects and uncertainty alongside the intended outcome to avoid attributing every change to the policy alone.
Social change and policy
- Changing values and norms — Changes in public judgement can make previously normalised harm more visible or challenge criminal prohibitions seen as unjust. Attitudes are diverse, and policy may lead, follow or resist them. Explain the institutional process linking values to a decision rather than assuming that opinion automatically becomes law.
- Historical partial decriminalisation example — The Sexual Offences Act 1967 partly decriminalised specified private consensual acts between men in England and Wales, subject to restrictive conditions including the age threshold then used. It did not create full equality across the UK in one step or describe all same-sex relationships as previously unlawful. This case illustrates why place, period and the limits of a reform matter.
Sources: Parliament historical reform explanation.
- Interpreting historical reform — Compare moral arguments, privacy, rights, campaigning, official review and political decision making as distinct influences. A reform can change legal categories without immediately removing stigma or unequal treatment. Do not present the history as a simple inevitable progression or use a former prohibition as a statement about the legitimacy of someone's identity.
- Demographic change — Changes in population size, age composition, migration, household arrangements or urban form can alter service needs and patterns of exposure. A rising count may partly reflect a larger population; a changing age mix may affect comparisons. Demographic description does not establish that a group causes crime, and policy analysis must avoid stereotyping newcomers or young people.
- Cultural and technological change — Changes in communication, work, relationships and digital infrastructure can create new opportunities and alter expectations of privacy, evidence and support. Conventional harms may expand through new media while law and institutions adapt. Explain what changed and why the proposed policy fits; novelty alone does not make every technology dangerous or every new prohibition effective.
- Public perceptions and policy pressure — A high-profile event can generate urgency even when the offence is uncommon, while less visible widespread harm may receive less attention. Compare perceived risk, measured evidence, harm and distribution. A legitimate concern still needs a proportionate response, and a low reported count may conceal barriers rather than indicate that nobody needs support.
- Policy lag, conflict and implementation — Law and practice can change at different speeds because institutions, resources, evidence and interests differ. A new legal protection may need training and accessible services before people can use it effectively. Evaluate both formal adoption and practical delivery rather than assuming that one announcement transforms all social relationships.
Campaigns, media and policy influence
- Different routes to influence — Individual campaigners can make a problem visible; pressure groups can coordinate expertise and sustained advocacy; newspapers can amplify attention and mobilise readers. These roles can overlap and compete. Trace the route through agenda setting, persuasion, consultation, decision and implementation without assuming that visibility alone produces a particular policy.
- Newspaper campaigns and Sarah's Law — Parliamentary historical material records newspaper campaigning, including the News of the World, around disclosure after Sarah Payne's murder. Compare the broad public-access demands with the limited safeguarding scheme ultimately adopted. The difference illustrates that institutions can modify campaign demands rather than implement a slogan literally.
Sources: Parliament historical policy background.
- Individual campaigning and Clare's Law — The campaign following Clare Wood's murder connected an individual experience with calls for protection and the disclosure scheme piloted before national rollout. Analyse the contribution of the personal case, publicity, political response and police implementation separately. The resulting procedure is documented; its effects still need outcome evidence rather than assumed universal prevention.
- Pressure groups and expertise — A group can assemble research, communicate affected people's experiences, respond to consultations and build coalitions. Evaluate its representativeness, evidence and interests without dismissing advocacy merely because it seeks change. A campaign organisation's own account is a source to assess, not an automatic independent proof of its causal impact.
- From awareness to decision — A campaign may first change recognition, then increase discussion, professional attention or institutional consideration. Each transition can encounter resistance, competing demands and practical constraints. Show evidence of the stages actually reached; a petition signature or page visit is not itself a new law or a protected individual.
- Unintended consequences and fairness — A policy response can create stigma, displacement, privacy costs, burdens on services or unequal access even when its purpose is protective. Identify who gains and who bears those effects. Considering risks does not mean rejecting all action; it helps compare safeguards and alternatives against the campaign's legitimate purpose.
- Attributing policy influence — Use a chronology, public statements, consultation responses, decision documents and implementation evidence to assess contribution. A campaign can be one cause among several, and policymakers can cite it without adopting all its requests. Avoid the unsupported conclusion that because A preceded B, A alone caused B.
- Extended applied answer — Build an answer around a clear claim, relevant theoretical mechanism, case evidence, alternative explanation and reasoned judgement. Compare concepts precisely and keep fictional scenarios distinct from documented events. A short quiz can check pieces of this reasoning, but an extended evaluation needs connected argument and appropriate evidence.
- Fictional policy comparison — In an invented equal-exposure exercise, recorded incidents fall from 100 to 80 in an intervention area and from 100 to 90 in a comparison area. The falls are 20% and 10%, respectively; the intervention area's larger fall is evidence to investigate, not automatic proof of a ten-percentage-point causal effect. Check prior trends, comparability, recording, other changes and displacement before attributing the difference to the policy.
Equal-exposure fictional exercise: incidents fall 20% in the intervention area and 10% in the comparison area. The difference warrants investigation; it is not automatically a causal effect. Prior trends, comparability, recording, other changes and displacement need assessment.