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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".