Perceptions of Childhood Sexual Abuse Survivors: Development and Initial Validation of a New Scale to Measure Stereotypes of Adult Survivors of Childhood Sexual Abuse
Bibliographic record
Abstract
The Childhood Sexual Abuse Stereotypes Scale was developed to assess stereotypes of adult survivors of childhood sexual abuse. Scale items were derived from two studies that elicited cultural and personal beliefs about, and emotions experienced towards adult childhood sexual abuse survivors among university undergraduates. Two scales, Emotions and Characteristics, were developed and administered online to 182 participants. Exploratory factor analysis produced 7 factors, 4 for the Emotions Scale and 3 for the Characteristics Scale. Study 2 replicated this factor structure using confirmatory factor analysis (N = 457). Reliability and validity analyses suggest that the Childhood Sexual Abuse Stereotypes Scale has satisfactory psychometric properties. The Childhood Sexual Abuse Stereotypes Scale can be used to examine stereotypes of legal and health care professionals likely to work with survivors as well as in stereotyping research.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".