Bibliographic record
Abstract
Objective: To use the product launch of Player’s Premiere as a case study for understanding the new cigarette product development process during the 1990s. We determine the (in)validity of industry claims that: (1) development of the physical product preceded the promotional promise of “less irritation”; (2) “less irritation ” was actually realised; (3) advertising informed consumers; and (4) advertising regulations caused the product’s failure in the marketplace. Setting: Court proceedings assessing the constitutionality of Canada’s Tobacco Act, which substantially restricts cigarette advertising. The 2002 Quebec Superior Court trial yielded a new collection of internal documents from Imperial Tobacco Ltd (ITL), including several about the development and marketing of Player’s Premiere. Method: Trial testimony and corporate documents were reviewed to determine the validity of the industry representations about the new cigarette product development process, focusing on the case history of Player’s Premiere. Results: In direct contradiction to industry testimony, the documentary evidence demonstrates that (1) communications for Player’s Premiere, which claimed less irritation, were developed long before finding a product that could deliver on the promise; (2) ITL did not sell a “less irritating ” product that
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.665 | 0.403 |
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".