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Record W2107732369 · doi:10.1080/14622200412331320789

Accuracy and optimism in smokers' beliefs about quitting

2004· article· en· W2107732369 on OpenAlexaff
Neil D. Weinstein, Paul Slovic, Ginger Gibson

Bibliographic record

VenueNicotine & Tobacco Research · 2004
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of British Columbia
FundersUniversity of Pennsylvania
KeywordsAddictionOptimismPsychologySmoking cessationQuit smokingPsychiatryMedicineClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Data collected in two nationwide surveys (N=361 and N=788) provide insight into the extent to which smokers recognize the ease of addiction and the difficulty of quitting. Smokers generally acknowledge that addiction occurs quickly and that smokers have considerable difficulty quitting. Youth smokers, however, generally believe that they would have less difficulty than other smokers and that they are less addicted than the average smoker. Adult smokers tend to say they are not different from other smokers in addiction or ability to quit. Nevertheless, both youth and adult smokers who want to quit greatly overestimate the likelihood that they will succeed in the coming year. Few smokers think about how long they will smoke when they first begin, and the reluctance to believe that they could have serious difficulty quitting may help in the progression from experimental to established smoker.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.053
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.087
GPT teacher head0.420
Teacher spread0.333 · 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

Citations113
Published2004
Admission routes1
Has abstractyes

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