When Old Meets New: Civil Remedies in the Criminal Context - A New Proposal for Compensating Victims of Crime
Bibliographic record
Abstract
RESUMftL'article sugg6re que des modifications soient apport~es au Code penal et aux proc6dures provinciales pour permettre aux victimes de certains crimes de recevoir des reparations civiles, advenant l'obtention d'une condamnation au proc6s criminel.Les d61its civils pour lesquels des dommages et int~r~ts seraient 6tablis 'i l'issue de la poursuite au criminel seraient ceux qui comportent des caract6ristiques semblables aux infractions p~nales exemplaires (d6lit civil d'acte de violence, d6lit criminel de voies de fait).La r~forme propos6e cherche A maintenir les caract~ristiques idales du processus penal en common law tout en favorisant une notion bien 6tablie du droit civil.L'essai aborde certaines des critiques anticip~es par les responsables et fournit une justification pour le d6p6t sur le bureau de cette nouvelle procedure au Canada.
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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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.010 | 0.034 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".