Agency, Criminogenic Risk and Needs, and Recidivism: A Prospective Longitudinal Study Including 14,000 Adult Justice-involved Individuals
Bibliographic record
Abstract
This study examines the role and importance of agency, defined as the ability to recognize personal issues and motivation to change. More specifically, the study aims to explore whether agency can help overcome criminogenic risk and needs in the context of community re-entry among justice-involved individuals. Based on a sample of 14,000 adult males sentenced to probation or incarceration, a series of survival analyses (e.g., Cox proportional hazards) were used to investigate the association between criminogenic risk and needs and agency-related indicators in relation to recidivism. The findings underscore the importance of criminogenic risks and needs while emphasizing the role of motivation to change as a possible moderator. Addressing criminogenic risk and needs while justice-involved individuals face numerous barriers and challenges make desistance from crime a long and difficult process, especially if interventions do not support agentic decisions and behaviors.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".