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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".