Pediatric weight management programs in Canada: Where, What and How?
Bibliographic record
Abstract
Our purpose was to conduct a national environmental scan of pediatric weight management programs in Canada. Data were entered by program representatives regarding the history, structure, and function of their weight management programs using an online survey that our team developed in partnership with the Canadian Obesity Network ( www.obesitynetwork.ca ). Of the 18 programs that were identified, all included multidisciplinary teams that take a family-centred, lifestyle/behavioural therapeutic approach; health services were accessed primarily through physician referral. Most programs were launched in the past five years with public funding and enrolled ∼125 clients/year into one-on-one and/or group-based weight management care. Although many participated in research and were affiliated with academic institutions, most did not systematically evaluate their obesity-related programming. Based on these observations, recommendations related to program evaluation, health services delivery, and network collaborations are provided to inform future directions for research and clinical care that have both domestic and international relevance.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".