Best Practices for Chronic/Persistent Youth Offenders
Bibliographic record
Abstract
In 2006, the Canadian Research Institute for Law and the Family (CRILF) began work on the three-year project, A Study of Youth Offending, Serious Habitual Offenders, and System Response in Calgary. One objective of this study was to develop an understanding of the predictors of chronic and persistent youth offending, as well as a knowledge base of best practices in Canada and internationally for this population of youth offenders. With funding from the Alberta Law Foundation and the National Crime Prevention Centre, and in partnership with the Centre for Initiatives on Children, Youth and the Community, City of Calgary Community and Neighbourhood Services, and Calgary Police Service, CRILF researchers examined the literature on chronic and persistent youth offenders, and performed an environmental scan to assess what programs and strategies police agencies across Canada have in place to address this youth offending population. The objectives of this report are to: 1) understand the predictors of chronic and persistent youth offending; and 2) examine best practices used by police agencies across Canada for chronic and persistent youth offenders.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".