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Record W1965023678 · doi:10.1080/15325020500193895

Disclosing the Trauma of Child Sexual Abuse: A Gender Analysis

2005· article· en· W1965023678 on OpenAlexaff
Ramona Alaggia

Bibliographic record

VenueJournal of Loss and Trauma · 2005
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFeelingPsychologySexual abuseSelf-disclosureChild sexual abuseVerbal abuseDevelopmental psychologyClinical psychologySocial psychologySuicide preventionPoison controlMedicineMedical emergency

Abstract

fetched live from OpenAlex

This study qualitatively explored dynamics that impede or promote disclosure of child sexual abuse. Findings on the impact of gender on disclosure are reported based on data from 30 in-depth interviews of adult survivors. While there were strong similarities, noteworthy differences connected to gender and disclosure emerged. The overall trend was toward delaying disclosure, and for those who tried to disclose in childhood, attempts were often made in behavioral or indirect verbal ways. However, males reported difficulty disclosing because they feared being viewed as homosexual and as victims. Women's difficulties centered on feeling conflicted about responsibility, and they more strongly anticipated being blamed or not believed. Findings are linked to therapeutic work with traumatic loss.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations236
Published2005
Admission routes1
Has abstractyes

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