The profile of people entering the ‘EQUIPS’ offender treatment programs in New South Wales’
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
New South Wales has the largest population of incarcerated people in Australia, with increasing levels of community supervision. Corrective Services NSW offers eligible people the EQUIPS suite of offender treatment programs, which follow the Risk-Need-Responsivity model of offender rehabilitation. Referrals to the programs are also targeted to meet the specific reoffending needs of individuals, including EQUIPS Foundation, Aggression, Addiction and Domestic Abuse. This study examined the profile of people targeted for treatment in NSW by examining demographic, sentencing and criminogenic characteristics within a cohort of 18,963 individuals allocated to attend EQUIPS programs in custody and in the community between 2015 and 2018. Most individuals allocated to EQUIPS programs (80%) had a history of criminal justice system involvement, were male, with low education and most often from major cities or inner regional areas. Around a third were Aboriginal and/or Torres Strait Islander. Less than half of those referred to EQUIPS participated in at least one treatment session and only one quarter completed the course of treatment. Recommendations for improved program delivery include: 1) more timely risk assessment and allocation to programs during individual’s sentences; and 2) enhancing equitable allocation between custodial and community settings based on individual risk and the types of programs available.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it