Lessons for Canadian Crime Prevention: Cultural Shifts and Local Flexibilities
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 volume of the IPC Review contains two very significant articles, written from the privileged position of hindsight by two very skilled observers. Peter Homel’s Lessons for Canadian crime prevention from recent international experience and Enver Solomon’s New Labour and crime prevention in England and Wales: What worked? offer a wealth of experience and advice based primarily on the recent history of criminal justice and prevention initiatives in Australia and England and Wales. In 2008, ICPC published its first International Report on Crime Prevention & Community Safety1, providing an opportunity to assess the evolution, maturation and growth of crime prevention internationally. These articles offer some valuable detail and commentary on some of the international trends identified in that report. Enver Solomon is a political scientist whose analysis draws on his recent “independent audits ” of ten years of criminal justice and youth justice reforms in England and Wales, under Tony Blair’s Labour government. Peter Homel has the dual distinction of having undertaken a major evaluation of the Crime Reduction Programme in England and Wales, which formed a crucial part of Tony Blair’s crime strategy, and of evaluating and observing many of Australia’s recent crime prevention initiatives, as well as some of those in New Zealand and the US. This enables him to reflect on the comparative advantages and disadvantages of central government intervention in crime and its prevention. In the late 1990’s England and Wales was seen as a poster child for crime prevention in place of “endless law enforcement”. The enactment of mandatory
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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