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Record W2146636523 · doi:10.1080/10926771003705205

Childhood Sexual Abuse and Adulthood Parenting: The Mediating Role of Intimate Partner Violence

2010· article· en· W2146636523 on OpenAlexaff
Betty Barrett

Bibliographic record

VenueJournal of Aggression Maltreatment & Trauma · 2010
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyModerationSexual abuseDomestic violenceMediationAggressionPsychological abuseChild abuseChild sexual abuseDevelopmental psychologyCorporal punishmentPoison controlSuicide preventionSocial psychologyMedicine

Abstract

fetched live from OpenAlex

This study examined the role of intimate partner victimization in mediating the relationship between childhood sexual abuse and adulthood parenting in a community sample of mothers reliant on public assistance (N = 483). Baron and Kenny's (1986 Baron, R. M. and Kenny, D. A. 1986. The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51: 1173–1182. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) method for establishing mediation was used to address this question. A recent history of intimate partner violence mediated the relationship between childhood sexual abuse and psychological aggression; however, a lifetime history of intimate partner violence did not. Depressive symptomatology was found to mediate the relationship between childhood sexual abuse and parental warmth. The impact of childhood sexual abuse on corporal punishment was indirect through its association with childhood physical abuse and witnessing domestic violence. Implications for research, theory development, and practice are provided.

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)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.288
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 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

Citations34
Published2010
Admission routes1
Has abstractyes

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