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Record W3047356955 · doi:10.31372/20200502.1085

Characteristics of Hardcore Male Smokers in Taiwan: A Qualitative Study

2020· article· en· W3047356955 on OpenAlexvenueno aff
Hui-Wen Huang, Kuang-Chieh Hsueh, Wen Li, Chih‐Ling Huang

Bibliographic record

VenueAsian/Pacific Island Nursing Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
FundersMinistry of Science and Technology of Thailand
KeywordsSmoking cessationQualitative researchPsychologyCategorizationClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study was to explore the characteristics of hardcore smokers who were previously hospitalized. Study design: A descriptive qualitative design was used to investigate a sample of 29 male Taiwanese smokers. Methods: Male hardcore smokers were recruited at a hospital in southern Taiwan and their smoking behaviors and attitudes were explored in semistructured interviews. Inclusion criteria were: (1) smoking at least weekly or daily during the past year, (2) 100 cigarettes during the lifetime, (3) persistent smoking, or (4) at least one hospitalization. Audio-recorded interview data were analyzed using content categorization of the responses. Results: Four main themes emerged to describe characteristics of Taiwanese hardcore smokers: (1) physiological and psychological dependence, (2) no motivation to quit despite knowledge of negative health consequences, (3) social interaction and cultural norms, and (4) negative attitudes toward, but compliance with, smoking-free policies. Conclusions: The results can inform public health nurses of characteristics of Taiwanese hardcore smokers, which in turn may develop effective smoking cessation program to increase smoking cessation rate among Taiwanese hardcore smokers.

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 score0.047
Threshold uncertainty score0.500

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 integrity0.0000.001
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 head0.042
GPT teacher head0.348
Teacher spread0.306 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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