Predicting Mother–Adolescent Sexual Communication Using the Integrative Model of Behavioral Prediction
Bibliographic record
Abstract
Guided by the integrative model of behavioral prediction, we examined factors associated with more extensive mother–adolescent sexual communication. Participants were 303 mothers of young adolescents who completed a survey assessing their skills, attitudes about the outcomes of sexual health discussions, perceptions of social norms, self-efficacy, and sexual communication intentions at baseline (Time 1) and the extent of their sexual communication with their adolescent 6 months later (Time 2). A path analysis showed that, after accounting for the correlations among the four predictors and sexual communication at Time 1, intentions mediated the relationships between mothers’ skills, attitudes, and self-efficacy and the extent of their sexual communication with their adolescent. Attitudes also were related directly to mothers’ sexual communication. These results provide support for the utility of the integrative model of behavioral prediction for identifying parent characteristics that are related to more extensive parent–adolescent sexual communication and one mechanism by which these relationships may occur.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".