Negative affectivity in females' identification of their nonconsensual sexual experiences and sexual dissatisfaction
Bibliographic record
Abstract
Very little research has examined the adjustment differences between those who identify their nonconsensual sexual experiences (NSEs) as sexual assault and those who do not, despite both groups meeting the legal criteria for having experienced sexual assault. Identifying differences between NSE identifiers and non-identifiers may help to illuminate psychosexual factors in NSE construal, emotional reactivity, and resilience in sexual outcomes. This study examines the association of individuals' NSE self-identification and negative affectivity with women's sexual dissatisfaction in an undergraduate sample. Participants (N=126) completed measures of negative affectivity five months before completing measures of sexual satisfaction and NSE history. Results indicated that negative affectivity has a robust independent association with NSE identification and sexual concerns for women who report NSEs, corresponding to legal definitions of sexual assault. In addition, no differences were found between identifiers and non-identifiers on sexual dissatisfaction, suggesting NSE history may have more to do with sexual satisfaction in these women than the construal of the event.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".