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Record W1996015453 · doi:10.1108/02637470110388235

Crime and the design of residential property – exploring the theoretical background ‐ Part 1

2001· article· en· W1996015453 on OpenAlexaboutno aff
Paul Cozens, David Hillier, Gwyn Prescott

Bibliographic record

VenueProperty Management · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsPanacea (medicine)Space (punctuation)DeliberationArchitectural engineeringSociologyLaw and economicsPolitical scienceLawComputer scienceEngineering

Abstract

fetched live from OpenAlex

This paper provides a critical review of “Defensible Space” (Newman, 1973) and traces the development of Crime Prevention Through Environmental Design (CPTED) in America and Canada, and Secured By Design (SBD) initiatives in the UK. It is argued that various aspects of the theory have avoided consideration and require further investigation and research. It is opined that “defensible space” is the theoretical foundation to both CPTED and SBD and it is posited that a thorough re‐examination of Newman’s ideas will serve to deepen our understanding of the complex relationship between the built environment and crime. British (BS8220) and European (CEN TC/325) Standards relating to urban planning and environmental design and crime reduction are currently receiving detailed deliberation and are based firmly upon Newman’s ideas. The projected need for some 4.4 million new homes in Britain (DOE, 1995) by 2016 and Lord Roger’s call for improvements in urban design to reduce suburban migration from cities (DETR, 1999) reiterates the importance of the subject matter. This paper (the first of two) recognises that design per se does not represent the panacea for reducing criminogeneity, rather, that “defensible space” CPTED and SBD should be considered as crime prevention strategies, which can, in common with all other initiatives, contribute to tackling the problem of residential crime. In conclusion, it is argued that further research concerning how “defensible space” is perceived by various crucial stakeholders in society is the way forward in this regard. A second, forthcoming paper (PM, Vol. 19 No. 3) will present these research findings.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.036
Scholarly communication0.0090.007
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.179
GPT teacher head0.334
Teacher spread0.156 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations113
Published2001
Admission routes1
Has abstractyes

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