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Record W2980187125 · doi:10.18332/tid/112102

A qualitative study of the smoking-related norms and practices among adolescents

2019· article· en· W2980187125 on OpenAlexfundno aff
Stine Glenstrup, Lotus Sofie Bast, Dina Danielsen, Anette Andersen, Tine Tjørnhøj‐Thomsen

Bibliographic record

VenueTobacco Induced Diseases · 2019
Typearticle
Languageen
FieldHealth Professions
TopicPediatric health and respiratory diseases
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceCanadian Institutes of Health Research
KeywordsSmoking cessationMedicineFamily medicineHarmNursingPsychologySocial psychology

Abstract

fetched live from OpenAlex

Objective The aim of this paper was to examine smoking-specific norms and practices to understand the meaning of social context for young adolescent’s perception of tobacco use. The analysis of the social context was informed by the Collective Lifestyle framework and draws on concepts like place-based smoking, structure and agency. Methods This paper draws from an ethnographic study of smoking-specific norms and practices. We conducted eight focus group interviews with a total of 44 adolescents and 28 days of field observations among grade 8 students at two Danish schools. Results Our analysis suggests that adolescents’ smoking-related practices and hence meaning of smoking differs according to the social context they engage in. The social context contributes to the way adolescents smoking unfold in specific places by specific groups of adolescents. Herby suggesting that smoking becomes an object contributing to social exclusion. Conclusions Future interventions and tobacco control initiatives targeting young adolescents should consider the meaning of the social context for creating places to practice smoking.

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)0.017
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0070.007
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.077
GPT teacher head0.466
Teacher spread0.389 · 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 designQualitative
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

Citations1
Published2019
Admission routes1
Has abstractyes

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