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Record W2085847314 · doi:10.1037/a0038584

Children exposed to intimate partner violence: Influences of parenting, family distress, and siblings.

2014· article· en· W2085847314 on OpenAlexafffund
Ketan Tailor, Ashley Stewart-Tufescu, Caroline C. Piotrowski

Bibliographic record

VenueJournal of Family Psychology · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of ManitobaManitoba Health
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSiblingPsychologyModerationDistressDomestic violencePoison controlInjury preventionSibling relationshipDevelopmental psychologyClinical psychologyMedicineMedical emergency

Abstract

fetched live from OpenAlex

The aim of this study was to investigate associations between maternal stress, parenting behavior, and sibling adjustment in relation to child trauma symptoms in families with and without a history of intimate partner violence (IPV). Maternal report was used to measure maternal stress and child trauma symptoms, whereas parenting behavior was assessed through an observational measure. Participants consisted of mothers with 2 school-age siblings recruited from the community. Results indicated that violent families reported higher levels of maternal stress and sibling trauma symptoms than nonviolent families, although no differences were found in parenting behavior. Sibling trauma symptoms and negative maternal behavior toward a sibling were strong predictors of trauma symptoms in younger siblings exposed to IPV but only modest predictors for older siblings. Moderator analyses showed that in IPV-affected families, the trauma symptoms of older siblings were related to the trauma symptoms of younger siblings when maternal stress was high.

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)0.004
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.375
Teacher spread0.338 · 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

Citations25
Published2014
Admission routes2
Has abstractyes

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