An Examination of the Desistance and Risk Paradigms in Correctional Service Canada Policies
Bibliographic record
Abstract
This thesis explores the concepts of desistance and risk and examines whether these aspects are present in Correctional Service Canada policies. This thesis uses thematic analysis, constructivist grounded theory and critical discourse analysis to examine four Correctional Service Canada policies: Commissioner's Directives: 705-6, 715-1, 715-2, and 715-3. Suggestions are made throughout this paper as to where and how aspects of the desistance paradigm could be further represented in these policies, while also providing a commentary on where risk paradigm aspects are present within them. This thesis concludes that the risk and desistance paradigms co-exist in Correctional Service Canada policy, which is beneficial for not only parole officers, but also for offenders.
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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 | 0.020 | 0.031 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.035 | 0.059 |
| Scholarly communication | 0.021 | 0.008 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| 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 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".