Developing a risk/need assessment tool for women offenders: a gender-informed approach
Bibliographic record
Abstract
Purpose Recently, correctional agencies have argued that there are differences between factors influencing men and women’s involvement in the criminal justice system. The purpose of this paper is to examine the validity of a gender-informed risk/need assessment tool. Design/methodology/approach The sample consisted of 620 women offenders admitted to federal Canadian custody, as well as a matched-comparison group of 647 men. Items were selected from routine assessments in an administrative database based on an extensive literature review of factors related to criminal risk for women. Findings Results showed that the items included in this assessment and the overall rating of risk/need significantly predicted any return to custody for both women and men. As well, ratings incrementally predicted any return to custody over and above other established tools. Practical implications The gender-informed risk/need assessment tool, informed by the literature, performed well for both men and women. The research highlights the complementary, not competing, perspectives of gender-neutral and gender-responsive risk and need factors. Originality/value Factors commonly considered gender-salient predicted risk for men and women. The present study demonstrates that risk assessments tools for men and women should look beyond the factors routinely assessed in the research to identify novel dynamic factors that contribute to risk for men and women and could be targeted for intervention.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Methods About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | low |
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 | 0.023 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".