Canadian Senate Report on Obesity: Focusing on Individual Behaviours versus Social Determinants of Health May Promote Weight Stigma
Bibliographic record
Abstract
Very little attention has been given to unintended consequences of government reporting on obesity. This paper argues that the 2016 Senate report, “Obesity in Canada: A Whole-Of-Society Approach,” exemplifies the systemic public health issue of weight stigma. The purpose of this viewpoint is to critique the approach taken in the Report, by illustrating that it (1) takes a weight-centric approach to health, (2) does not acknowledge important limitations of the definition and measurement of obesity, (3) reifies obesity as a categorical phenomenon that must be prevented, and (4) uses aggressive framing and disrespectful terminology. The Report perpetuates a focus on the individual, thereby failing to recognize the role that governments can play in reducing weight stigma and addressing social determinants of health. If steps are taken to avoid propagating weight stigma, future reports could more constructively address health promotion, equity, and social determinants of health in their policies.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.037 | 0.002 |
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".