Direct-to-consumer advertising of pharmaceuticals on television: a charter challenge
Bibliographic record
Abstract
The Supreme Court of Canada has consistently wrestled with the conflict between legislation designed to protect consumers’ health and the constitutional guarantee of the fundamental freedom of expression. This paper investigates the justification for the current regulatory framework for pharmaceutical advertising on television. Aware that the provisions in the FDA are able to withstand Charter of Rights and Freedoms (Charter) scrutiny, several possible policy initiations are nevertheless proposed.\nThe paper is divided into five separate sections. Having first introduced DTCA of pharmaceuticals on television in Section I, I will now turn to a more comprehensive examination of DTCA in Canada in Section II. Next, I will fully examine the nature of expression characterized in drug advertising in Section III, before delving into the main argument of the paper, a Section One challenge Char- ter challenge in Section IV. Finally, I conclude that the current prohibitions against DTCA of drugs on television are justified and will provide a few recommendations in Section V.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.016 | 0.015 |
| 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".