Preventing Relationship Abuse with the Health Belief Model
Bibliographic record
Abstract
The purpose of the present study is to examine the Health Belief Model (HBM) as a framework for adolescent relationship abuse prevention-focused interventions. As part of a secondary school girls’ physical education course, participants (from grades nine to 12) will complete a HBM questionnaire, and a questionnaire assessing their past relationship behaviour. The participants will then be introduced to an intervention that teaches various assertive and protective reactions to problematic behaviour based on the components of the HBM. After the intervention, the girls will complete the HBM questionnaire a second time. Also, two months following the intervention, participants will be asked to complete the Past Behaviour questionnaire for a second time. It is predicted that health belief change will be positively correlated with relationship protective behavior change. Furthermore, it is expected that of the HBM factors, perceived benefits will be the strongest predictor of behavioural change, followed by perceived barriers, self-efficacy, perceived susceptibility, and perceived seriousness.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".