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Record W2025574468 · doi:10.1136/tc.9.4.359e

Canada: warnings with colour pictures required

2000· article· en· W2025574468 on OpenAlexaffabout
Rob Cunningham

Bibliographic record

VenueTobacco Control · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsOttawa Regional Cancer FoundationCanadian Cancer Society
Fundersnot available
KeywordsHouse of CommonsCabinet (room)Government (linguistics)BusinessWork (physics)CommonsPublic healthTobacco industryAdvertisingEnvironmental healthPolitical scienceMedicineLawEngineeringParliamentNursing

Abstract

fetched live from OpenAlex

Following a lengthy regulatory process, Canada's new cigarette package warnings are the first with photographs, and the first covering 50% of the package front and back. A mock up package with one of the new exterior warning (left) and one of the package inserts (right). The content of the new warnings was finalised on 26 June 2000 when the cabinet of the Canadian government adopted the Tobacco Products Information Regulations under the Tobacco Act. Before adoption, the regulations had received unanimous approval by the House of Commons Standing Committee on Health, following public hearings, and by the House of Commons as a whole. Considerable research and other work by the Canadian Department of Health and by health organisations contributed significantly to the development of the regulations. The regulations require that one of 16 rotated …

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.237
Threshold uncertainty score0.792

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.2370.071

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.

Opus teacher head0.010
GPT teacher head0.223
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations7
Published2000
Admission routes2
Has abstractyes

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