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Record W4402684467 · doi:10.1016/j.addbeh.2024.108168

Changes in the harm perceptions of different types of tobacco products for youth and adults: Waves 1–5 of the population assessment of tobacco and health (PATH) study, 2013–2019

2024· article· en· W4402684467 on OpenAlexaff
Maansi Bansal‐Travers, Cheryl Rivard, Andrew Anesetti‐Rothermel, Aura Lee Morse, Anikah H Salim, Haijun Xiao, Izabella Zandberg, MeLisa R. Creamer, Heather L. Kimmel, Eva Sharma, Kristie Taylor, Andrew Hyland, Geoffrey T. Fong

Bibliographic record

VenueAddictive Behaviors · 2024
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsOntario Institute for Cancer Research
FundersNational Institute on Drug AbuseNational Institutes of Health
KeywordsHarmPerceptionEnvironmental healthTobacco usePopulationPsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

• Tobacco harm perceptions are changing over time, along with the tobacco product marketplace and regulatory environment. • Perceptions about the relative level of harm of non-combustible tobacco products to be increasing. • These findings can also help inform the dissemination of health communication materials about the continuum of risk. Tobacco harm perceptions are associated with tobacco use for both youth and adults, but it is unknown how these harm perceptions have changed over time in a changing tobacco product landscape. Data from Waves 1–5 of the Population Assessment of Tobacco and Health (PATH) Study were analyzed to examine perceptions of harm of eight non-cigarette tobacco products compared to cigarettes. Perceptions of harm were assessed with the questions, “Is smoking/using [product] less harmful, about the same, or more harmful than smoking cigarettes?”. The share of participants who perceived non-cigarette combustible products as posing similar harm to cigarettes increased over time, while the share of participants who perceived non-combustible products as less harmful than cigarettes decreased over time. Tobacco harm perceptions are changing over time, along with the tobacco product marketplace and regulatory environment.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

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

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.

Opus teacher head0.039
GPT teacher head0.357
Teacher spread0.317 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations8
Published2024
Admission routes1
Has abstractyes

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