Bibliographic record
Abstract
Though restorative processes offer benefits to victims of crime that cannot be gained from the traditional justice system, and though there is a general upward acceptance of restorative approaches, institutionalising these practices is nevertheless sporadic and slow-paced. This paper focuses on a particular policy provision within the Criminal Victim Assistance Program in British Columbia that is incoherent with a network of legislation and regulations that support restorative approaches to crime, and is, at the same time, effective in denying victims of crime the ability to choose a restorative justice approach. A ‘policy as discourse’ (Bacchi, 2009) framework is used to ask: ‘How does this policy provision come to have such force?’ The discourse analysis shows the policy provision to reside at the intersection of three constitutive and, at times, contradictory discourses—in this case bureaucratisation, neoliberalism and feminism—that collude and compete to deny victims of crime a restorative justice process.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.040 | 0.020 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".