Reducing Service and Substance Use Among Frequent Service Users: A Brief Report From the Toronto Community Addictions Team
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
The Toronto Community Addictions Team (TCAT) is an intensive case management intervention designed to serve people with addictions who are frequent service users, thus addressing a health system priority. Questionnaires given to 65 participants at baseline, 3 months, and 6 months and semi-structured interviews of 10 program participants explored participants' outcomes and experiences with the program. Qualitative findings, analyzed using thematic content analysis, suggest that participants value the program's commitment to harm reduction, financial trusteeship, and recovery orientation. Quantitative findings from paired t-tests reveal that participants improved in community functioning and decreased days of problematic substance use and money spent on alcohol and drugs as early as 3 months after program participation. Future research should used a controlled design and explore predictors of positive outcomes in this vulnerable population.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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