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Record W2041702101 · doi:10.1080/10538712.2013.743955

Perceptions of Childhood Sexual Abuse Survivors: Development and Initial Validation of a New Scale to Measure Stereotypes of Adult Survivors of Childhood Sexual Abuse

2013· article· en· W2041702101 on OpenAlexaff
Sadia Zafar, Erin Ross

Bibliographic record

VenueJournal of Child Sexual Abuse · 2013
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsYork University
Fundersnot available
KeywordsSexual abusePsychologyClinical psychologyConfirmatory factor analysisExploratory factor analysisScale (ratio)Child sexual abuseChild abusePsychological abusePsychometricsDevelopmental psychologyPoison controlSuicide preventionStructural equation modelingMedicine

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.274
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2013
Admission routes1
Has abstractyes

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