Living in the Shadow of Prison: Lessons from the Canadian Experience in Decarceration
Bibliographic record
Abstract
A number of jurisdictions, including England and Wales, have recently experienced rising prison populations and this has renewed the search for fresh alternatives to incarceration. Following the recommendations of the Home Office Sentencing Review of 2001, the Criminal Justice Bill 2002 contains a suspended term of imprisonment, which is a form of conditional sentence for England and Wales. Although conditional sentences of various kinds exist in many Western nations, the Canadian experience carries the most lessons for other jurisdictions. A conditional sentence of imprisonment designed to replace actual terms of custody was introduced in 1996. The offender is sentenced to a term of imprisonment, but discharges the sentence while living in the community, under supervision. As long as they comply with a number of conditions, offenders serving conditional sentences will not actually spend any time in a correctional institution. This paper evaluates the effectiveness of this sanction to date. Results indicate that the conditional sentence has occasioned a significant drop in the number of admissions to custody, and with only a minor degree of net widening. The paper concludes by drawing some general conclusions from the Canadian experience with this alternative to imprisonment.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.033 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".