Sexual resourcefulness and the impact of family, sex education, media and peers
Bibliographic record
Abstract
Building on a recently developed theoretical model of sexual self-control, 178 undergraduate women completed measures of learned resourcefulness, reasons for consenting to unwanted advances, and sexual self-efficacy – variables consistently shown to be unique predictors of sexual resourcefulness. Additional measures assessed in this investigation included media internalisation, peer values, parental and school discussions of sexual topics, body image preoccupation, body image satisfaction, and perceived timing of pubertal development. Along with the aforementioned unique predictors of sexual resourcefulness, receiving more information from the mother about dealing with unwanted sexual advances emerged as another direct contributor. Also in concurrence with past research, it was found that women scoring lower in sexual resourcefulness and having more reasons for consenting were more likely to engage in unwanted non-coercive sexual activities, with greater media pressures, higher appearance orientation and lower learned resourcefulness having a shared impact. Implications, limitations, and directions for future research are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".