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Narratives of smoking relapse: The stories of postpartum women

2000· article· en· W2126379933 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch in Nursing & Health · 2000
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFeelingNarrativeSmoking cessationPregnancyMedicineIntervention (counseling)PsychologyPostpartum periodRelapse preventionPsychiatryDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Many women who stop smoking during pregnancy relapse soon after the birth of their infants. Using narrative research, experiences of smoking relapse were explored using interviews with 27 postpartum women. The stories of relapse were analyzed to identify important components, paying attention to commonalities, differences, and areas of emphasis. Five general story lines were identified: (1) controlling one's smoking (starting with a "puff" and consciously restricting the amount smoked); (2) being vulnerable to smoking(relapsing because of an inability to resist cigarettes); (3) nostalgia for one's former self(relapsing to recapture feelings of freedom and happier times); (4) smoking for relief(relapsing to manage emotions and stress); and (5) never really having quit (relapsing because they did not quit for themselves). The findings of this study provide support for the claim that the experiences of smoking cessation and relapse among postpartum women may be unique and, consequently, may require specialized intervention.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.098
GPT teacher head0.472
Teacher spread0.374 · 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