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Warnings and packaging

2019· editorial· en· W2971252251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTobacco Control · 2019
Typeeditorial
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
Fundersnot available
KeywordsTobacco controlPackaging and labelingBusinessAdvertisingPublic healthPsychologyPublic relationsMedicinePolitical scienceMarketingNursing

Abstract

fetched live from OpenAlex

The current issue of Tobacco Control highlights recent developments in research related to tobacco packaging, including issues as diverse as health warnings, plain packaging, messaging and novel products. Since the implementation of the first pictorial cigarette warnings by Canada nearly two decades ago, to the first implementation of plain packaging (PP) by Australia in 2012, the literature on this field has blossomed and diversified. The ability of health warnings to remain relevant and continue to command attention is an important question in public health education. Woelbert and d’Hombres1 conducted a large experimental study in 10 European countries that had implemented differing warning styles. They find that graphic and text combined have a maximum effect in reducing intentions to smoke, but that this was attenuated in countries that had already implemented this warning style. Novel pictures reversed the wearout effect, providing evidence to support rotating warning content over time. Green2 and colleague address the issue of changing warnings from a different perspective, looking at the introduction of new warning content and the removal of other content as new, larger warnings were implemented in Canada. Adding and removing content from warnings generally affects smoker knowledge—removing carbon monoxide (CO) and impotence warnings led to decreased awareness that these were associated with smoking while adding blindness and bladder cancer warnings increased awareness, although adding an addiction warning had a little effect. Novelty appears to be important to consider when adding content, though it is also important to consider the …

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.011
GPT teacher head0.235
Teacher spread0.225 · 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