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Record W2770520971 · doi:10.1177/2333393617740463

Health Care Students’ Attitudes About Alcohol Consumption During Pregnancy: Responses to Narrative Vignettes

2017· article· en· W2770520971 on OpenAlex
Kelly D. Coons, Shelley L. Watson, Nicole Yantzi, Nancy Lightfoot, Sylvie Larocque

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

VenueGlobal Qualitative Nursing Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsLaurentian University
Fundersnot available
KeywordsNarrativeAlcohol consumptionPregnancyPsychologyConsumption (sociology)AlcoholObstetricsMedicineDevelopmental psychologySociologyArtLiteratureChemistrySocial science

Abstract

fetched live from OpenAlex

This article explores medical, midwifery, and nurse practitioner students' attitudes about women who may consume alcohol throughout their pregnancies. Twenty-one health care students responded to a scenario-based vignette addressing alcohol consumption during pregnancy, as well as a semistructured interview, which were analyzed using Braun and Clarke's thematic analysis approach. Two primary themes related to students' attitudes concerning alcohol consumption during pregnancy were identified: (a) divergent recommendations for different women, based on perceptions of their level of education, culture/ethnicity, and ability to stop drinking; and (b) understanding the social determinants of health, including the normalization of women's alcohol consumption and potential partner violence. Health care professionals in training need further education about the risks of alcohol consumption during pregnancy and fetal alcohol spectrum disorder (FASD). In addition, health care students need training in how to engage in reflective practice to identify their own stereotypical beliefs and attitudes and how these attitudes may affect their practice.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.158
GPT teacher head0.579
Teacher spread0.421 · 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