Bibliographic record
Abstract
■ AIM Identify whether centralised assessment and intake programs are useful for alcohol and drug systems. ■ DESIGN Review of evaluation findings on centralised programs in Ontario, Canada, the USA and Victoria, Australia. ■ FINDINGS Models implemented in Canada and the US operated at local level and variations were a product of settings and stakeholders. Some advances were made. The assessment and referral centres (A/Rs) in Canada accounted for around one fifth of all case loads. A greater proportion of treatment naïve people attended A/Rs and these agencies had a considerable network of services. However, A/Rs were not the hub of the system; many agencies developed their own intake structures and A/Rs took on treatment functions. In the US, only some locations with centralised intake units (CIUs) reported a greater uptake of referrals and high needs clients were more likely to attend. Centralisation resulted in improved assessments and increased levels of client satisfaction but not treatment matching. Some treatment agencies in Victoria developed centralised models for screening / assessment while referral destinations were generally in-house. In rural settings, there was cross-agency centralisation. ■ CONCLUSIONS Centralised intake requires extensive implementation planning to counter pressures that impede the potential for systems change.
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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) | 0.000 | 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) | 0.000 | 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; 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".