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Record W4200631069 · doi:10.7202/1086399ar

Croyances associées à la participation à une activité de dépistage des infections transmissibles sexuellement et par le sang chez des élèves de 4e et 5e secondaire

2022· article· en· W4200631069 on OpenAlexaffvenueabout
Carol-Ann Lavoie, François Boudreau

Bibliographic record

VenueScience of Nursing and Health Practices · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent Sexual and Reproductive Health
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsRegretTheory of planned behaviorMedicinePsychologyGynecology

Abstract

fetched live from OpenAlex

Introduction: In Quebec, in recent years, a steady rise in cases of chlamydia and a rapid grow of cases of gonorrhoea among young people aged 15 to 24 years have been observed. Asymptomatic screening for sexually transmitted and blood-borne infections (STBBI) is one way to prevent their spread. However, despite the accessibility of STBBI screening services, including in school settings, the participation rate of young people aged 15 to 24 remains modest. Objective: Using the Theory of Planned Behavior, identify beliefs that predict the intention of secondary 4 and 5 students to consult with the school nurse to participate in STBBI screening. Method: 294 students in Secondary 4 and 5 completed a self-administered questionnaire that included the constructs of the Theory of Planned Behavior, in addition to the moral norm and the anticipated regret. Results: The results of the multiple regression analyses show that 5 beliefs are more related to the intention of youth to participate in an STBBI screening activity: "being reassured (if I don't have an STBBI)", "wasting my time", "the support of people important to me", "fear of having an STBBI" and "being shy". Discussion and conclusion: The results suggest that a communication strategy targeting 5 specific beliefs could increase the intention of the secondary 4 and 5 youth to participate in an STBBI screening activity.

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience 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 score0.384
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0080.001
Scholarly communication0.0000.001
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 head0.248
GPT teacher head0.556
Teacher spread0.308 · 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.

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

Citations0
Published2022
Admission routes3
Has abstractyes

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