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Record W1970569228 · doi:10.1080/15299732.2011.652343

Coping Strategies in Female Survivors of Childhood Sexual Abuse from Two Canadian and Two New Zealand Cultural Groups

2012· article· en· W1970569228 on OpenAlexaboutno aff
Suzanne Barker‐Collo, John Read, Sue Cowie

Bibliographic record

VenueJournal of Trauma & Dissociation · 2012
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsCoping (psychology)IndigenousPsychologyEthnic groupClinical psychologyCultural group selectionDemographyDevelopmental psychologySocial psychologySociology

Abstract

fetched live from OpenAlex

Individuals from some minority cultures are at greater risk of experiencing childhood sexual abuse (CSA) and are also at heightened risk of negative outcomes from abuse. Coping strategies, which may mediate the relationship between CSA and outcomes, are also impacted by culture. This study examined the use of coping strategies in female survivors of CSA across 4 cultural groupings from 2 countries-86 European Canadians, 40 Native Canadians, 129 European New Zealanders, and 35 Māori New Zealanders-who all completed the Coping Responses Inventory. The 4 groups differed significantly on 7 of the 8 Coping Responses Inventory scales (Logical Analysis, Positive Reappraisal, Problem Solving, Cognitive Avoidance, Acceptance or Resignation, Seeking Alternative Rewards, Emotional Discharge). Whereas New Zealanders differed significantly from Canadians (p<.001), Europeans did not differ significantly from indigenous cultural groups, nor did nationality and culture grouping interact (p>.05). The profile of coping in New Zealand Europeans was relatively flat, with average scores across coping types close to the mean of the t-score distribution. Māori New Zealanders produced a similar profile, with only slight increases on 2 scales of avoidant coping. The findings raise questions about the extent to which generalizations can be made about there being either a "Western/European" culture or a particular "indigenous" culture. This in turn also raises the issue of whether cross-validation and replication of findings are needed if the findings are to be applied outside of the country in which the data were gathered.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.298
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.304
Teacher spread0.281 · 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.

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

Citations15
Published2012
Admission routes1
Has abstractyes

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