Crime and the design of residential property – exploring the theoretical background ‐ Part 1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it