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Geographies of criminal victimization in Canada

2000· article· en· W2138765296 on OpenAlexaffvenueabout
Bob Sharpe

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsVictimisationCriminologyCriminal justiceVulnerability (computing)SociologyContext (archaeology)Fear of crimePolitical scienceHumanitiesGeographyPoison controlHuman factors and ergonomics

Abstract

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This paper provides a summary review and analysis of some of the recent literature on the geography of crime and criminal victimization, especially as it relates to Canada. The topic is approached from a risk perspective focussing on human vulnerability to criminal victimization. The analysis reveals divergent perspectives in the literature. On one hand, the most readily accessible literature is that of the dominant geographical representation of crime in Canada which is found in the official reports of the criminal justice system, media reports, and social science texts. This perspective concentrates on offences and maps of the spatial distribution of crime. On the other hand, there is a less integrated literature which is both critical of, and complementary to, the dominant view. This literature emphasizes the victims of crime and gives particular attention to the role of local context and community in conditioning human vulnerability. These different perspectives reflect a fundamental spatial tension between a criminal justice system which attempts to manage the hazards of criminal activity through technocratic, large scale, and centralized practices, and the need and desire of individuals and communities to maintain some degree of local control over their own vulnerability and public safety. Cet article nous donne un bref résumé ainsi qu'une analyse de certains ouvrages traitant de la géographie du crime et de la “victimisation criminelle” dans une perspective canadienne. Le sujet est abordé du point de vue du risque et plus particulièrement sur celui du sentiment de vulnérabilité face à la “victimisation criminelle.” L'analyse met en évidence deux perspectives divergentes dans ce domaine. D'une part le matériel le plus accessible traite sans doute de la répartition du crime à travers le Canada, telle qu'elle apparaît dans les rapports officiels du système pénal, dans les médias et les manuels de sciences sociales. Cette approche tend à s'attacher aux crimes et à leur distribution géographique. D'autre part, il existe des ouvrages de perspective beaucoup plus mixtes qui sont à la fois critiques, mais adhèrent aussi à l'opinion prévalente. Ces derniers s'intéressent davantage aux victimes du crime et insistent tout particulièrement sur le rôle du contexte local et de celui de la communauté dans le conditionnement de la vulnérabilité chez l'individu. Ces différentes perspectives reflètent la tension fondamentale qui existe entre une justice pénale tentant de gérer les risques associés à la criminalité grâce à des mesures centralisées, purement technocratiques, exécutées à grande échelle. Elles reflètent aussi à la fois le besoin et le désir des individus et des communautés de vouloir exercer un certain contrôle sur leur propre vulnérabilité et sur leur sécurité publique.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.232
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2000
Admission routes3
Has abstractyes

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