Commercial Speech Law and Tobacco Marketing: A Comparative Discussion of the United States and Canada
Bibliographic record
Abstract
In November 2011, U.S. District Court Judge Richard Leon ruled that the U.S. Food and Drug Administration's (FDA’s) proposed graphic health warnings for cigarette packages violated tobacco companies’ First Amendment rights. In doing so, he pointedly refused to consider the experiences of Canada, the United Kingdom, and the more than thirty other countries that had adopted similar graphic warnings in the past decade. Rather, he swatted away all references to those other countries’ experiences by stating (first at oral argument and then in his decision) that “none of [those countries] afford First Amendment protections like those found in our Constitution.” While it is true that no other country uses the First Amendment per se, many other countries do offer constitutional protection to freedom of speech and/or freedom of expression. Indeed, several other countries apply “strikingly similar” legal tests when reviewing restrictions on speech (and on commercial speech in particular). Thus, the statement that other countries do not “afford First Amendment protections like those found in our Constitution” is an oversimplification.
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 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 | 0.001 | 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 | 0.019 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".