The Role of Private Law in the Control of Risks Associated with Tobacco Smoking: The Canadian Experience
Bibliographic record
Abstract
Can private law litigation serve as a tool for advancing public health objectives? With this contentious and oft-asked question in mind, we tackle Canada's recent tobacco litigation. This Article first presents critical commentary regarding various lawsuits waged against Canadian cigarette manufacturers by citizens acting as individuals or as parties to class action lawsuits. We then turn to analyze how Canada's provincial governments rely on targeted legislation to facilitate private law recourses for recouping the healthcare costs of treating tobacco-related diseases. We address challenges to the constitutionality of this type of legislation, as well as attempts by manufacturers to transfer responsibility to the federal government. Canadian litigation in this field is nothing like that of the United States with regards to both the volume and variety of its individual and class action litigation claims. This is also true with regard to the stage of advancement of governmental claims in Canada. Nevertheless, particularities of the Canadian context may provide interesting contrast with the situation in the United States.
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 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.054 | 0.024 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".