Predictors of completion status in a remedial program for male convicted drinking drivers.
Bibliographic record
Abstract
OBJECTIVE: Rates of attrition in alcohol and drug treatment programs are often greater than 50%, and completion of treatment has been shown to be a potent predictor of posttreatment outcome. The current study examined both rates and predictors of completion among male participants in a remedial measures program for convicted drinking drivers. METHOD: Male individuals (n = 5,409) convicted of a drinking driving offense in Ontario between October 2000 and December 2002 who did and did not complete a mandatory rehabilitation program were described in terms of demographic, drug use and legal variables collected at time of assessment. RESULTS: The program completion rate was extremely high (97.3%). In multivariate analyses, noncompleters-relative to completers-were younger; drank more frequently; were less likely to own a home; and were more likely to live in urban centers, have two or more lifetime impaired driving convictions and have experienced more than one adverse consequence of substance use. CONCLUSIONS: Ontario's remedial measures program for convicted drinking drivers, in which the return of a suspended license after the period of mandatory suspension is contingent on the completion of the program, demonstrates a very low level of client attrition. Individuals who do not complete the program bear many similarities to those at high risk for persistent drink-drive behavior and its associated negative health consequences.
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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) | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".