RESEARCH ARTICLE. The Canadian Eating Disorder Program Survey – Exploring Intensive Treatment Programs for Youth with Eating Disorders
Bibliographic record
Abstract
Norris et al Objective: To explore and describe philosophies and characteristics of intensive eating disorder (ED) treatment programs based in tertiary care institutions across Canada. Method: A ninety-item survey examining ED services for adolescents was developed, piloted, and completed by 11 programs across Canada. Information pertaining to program characteristics and components, governance, staffing, referrals, assessments, therapeutic modalities in place, nutritional practices, and treatment protocols were collected. Results: The results highlight the diversity of programming available but also the lack of a unified approach to intensive eating disorder treatment in youth. Conclusions: This report provides important baseline data that offers a framework that programs can use to come together to establish assessment and treatment protocols as well as a process for outcome evaluation. Continued collaboration will be essential moving forward to ensure Canadian youth, regardless of geographic location, receive the necessary treatment required to attain and sustain recovery.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".