The Relationship between a Schneider-Based Measure of Remorse and Chronic Offending in a Sample of Incarcerated Young Offenders
Bibliographic record
Abstract
The present study assesses whether feeling remorseful about one's current offence is associated with chronic offending among a population of incarcerated serious young offenders in British Columbia, Canada. The importance of remorse in criminal justice, generally, and in regard to Canadian youth justice is discussed. A self-report delinquency survey administered to youths incarcerated in Burnaby and Victoria, BC (N=447) revealed that 218 (49%) youths could be classified as chronic offenders under the definition used in this study and further that 19% of young offenders fit this study's definition of chronic serious violent offender. Multivariate results indicated that remorse was not associated with general chronic offending once other traditional risk factors were considered, likely because the latter attenuated the impact of remorse. However, once the sample was divided into chronic serious violent offenders and chronic non-serious violent offenders, remorse was a significant predictor of these phenomena. This suggests that the emphasis placed on remorse toward offending behaviours is useful, but that it is highly dependent on the type and frequency of offences.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".