Supreme Court of Canada's Appraisal of the 1980 Ban on Advertising to Children in Quebec: Implications for Misleading Advertising Elsewhere
Bibliographic record
Abstract
This has sparked a renewed public concern about marketing efforts targeted at children.In essence, a compelling body of evidence suggests that advertisers of toys, sedentary entertainment products, 3 and, especially, unhealthful foods, may be manufacturing premature death and disability due to heart disease, stroke, certain forms of cancer, diabetes, osteoporosis, obesity and other diseases by inducing life-long patterns of poor diet and physical inactivity.4 According to the World Health Organization (WHO), a substantial portion-and in some parts of the world, most--of the preventable loss of disabilityfree life-years can be averted by adopting a healthful diet and engaging in physical activity.5 This Article examines the unique legislative ban on advertising to children under age thirteen in the Canadian province of Quebec.Relying in part on the Supreme Court of Canada's endorsement of the child developmental evidence underpinning the Qudbec law,
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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.027 | 0.010 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.045 | 0.031 |
| Insufficient payload (model declined to judge) | 0.009 | 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".