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Health Promotion and Tobacco Control: Student Nurses' Perspectives

2003· article· en· W114521748 on OpenAlexaffabout
Karen Chalmers, Marilyn Seguire, Judy Brown

Bibliographic record

VenueJournal of Nursing Education · 2003
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsConfusionAutonomyTobacco controlHealth promotionPromotion (chess)Psychological interventionNursingPsychologyTobacco useMedical educationMedicinePublic healthEnvironmental healthPolitical sciencePopulation

Abstract

fetched live from OpenAlex

This article reports findings about student nurses' understanding of the nursing role in health promotion related to tobacco issues. These findings were derived from the data of a larger project, examining smoking practices of baccalaureate nursing students in Manitoba, Canada. The study was conducted with second-year, third-year, and fourth-year university nursing students studying at several sites throughout the province (N = 272). From the data analysis of the interviews, class forums, and open-ended survey questions, five themes emerged (i.e., who they are-who they are becoming, central beliefs and attitudes, learning the facts, practice world-limited options, role conflict). Students expressed considerable uncertainty and conflict concerning individual autonomy around decisions about tobacco use. This resulted in confusion about themselves as role models and their use of health promotion interventions.

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)0.006
metaresearch head score (Gemma)0.013
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 score0.008
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0070.002
Open science0.0010.005
Research integrity0.0020.005
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 head0.071
GPT teacher head0.525
Teacher spread0.454 · 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

Citations21
Published2003
Admission routes2
Has abstractyes

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