Facilitating Access to Evidence-Based Weight Management in Canada: A Consensus
Bibliographic record
Abstract
Obesity is a chronic disease that has reached epidemic status in Canada and around the world. In April 2009, 7 Canadian obesity experts convened to discuss the challenges of raising public awareness of the health issues associated with obesity and the limited access to evidence-based obesity treatment. The panel identified several important challenges to effective management of obesity, including education, access to evidence-based therapies and behavioural support. The public, as well as health care professionals and health care policy makers, must understand that obesity is not a lifestyle issue, but rather a chronic disease that requires ongoing sustainable intervention. The panel agreed that there is a need for safe, proven pharmacotherapies, as well as a need to dispel the myths around non-evidence-based treatments. The panel concluded that pharmacists and other health care professionals are well placed and should be encouraged to provide ongoing behavioural support as well as education about the disease and the role of evidence-based treatments in obesity management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.080 | 0.126 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.012 | 0.011 |
| Research integrity | 0.021 | 0.024 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".