The <scp>Slut‐Shaming</scp> Instrument: Preliminary validation, correlates, and links with psychological distress among adolescent girls
Bibliographic record
Abstract
Despite social awareness of the problem of slut-shaming for adolescent girls, no existing measure captures this construct. Using data from a sample of 202 girls from Québec, Canada (ages 14-17; 68% White), preliminary validation is provided for the Slut-Shaming Instrument, a seven-item measure of negative peer experiences related to being perceived as too sexually active, sexualized, or flirtatious. The measure showed strong psychometric properties including good reliability and factor structure, expected associations with daily experiences of slut-related victimization and sexual harassment, and links with number of sexual partners and other forms of peer victimization. Slut-shaming was associated with distress accounting for these other forms of victimization (including sexual harassment), suggesting the pertinence of addressing this type of gender-based victimization.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".