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Record W2137674324 · doi:10.1177/0886260511416462

Preliminary Evaluation of the Childhood Experiences of Violence Questionnaire Short Form

2011· article· en· W2137674324 on OpenAlexafffundabout
Masako Tanaka, Christine Wekerle, Eman Leung, Randall Waechter, Andrea González, Ellen Jamieson, Harriet L. MacMillan

Bibliographic record

VenueJournal of Interpersonal Violence · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsSt. Michael's HospitalMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsComparabilityConstruct validityClinical psychologyPsychologyPoison controlChild abuseInjury preventionSexual abusePopulationSuicide preventionHuman factors and ergonomicsOccupational safety and healthMedicinePsychiatryPsychometricsMedical emergencyEnvironmental health

Abstract

fetched live from OpenAlex

Despite advances in child maltreatment research, accurate measurement of exposure remains a key issue. In this study, we evaluated a short form (CEVQ-SF) of the Childhood Experiences of Violence Questionnaire (CEVQ) in a sample of adolescents involved with child protection services in an urban city in Ontario, Canada. Focusing on the two most readily defined maltreatment types, physical and sexual abuse, we evaluated the short form's comparability with the full version of the CEVQ. Both versions had good internal consistency and moderate-to-good 2-week test-retest reliability. The criterion validity of the two CEVQ versions in comparison with the Childhood Trauma Questionnaire was satisfactory. Construct validity for both versions was demonstrated: physically and sexually abused youth had higher odds of reporting clinical traumatic symptoms compared with either type alone. The CEVQ-SF is as reliable and valid as its full version. Implications for its use in large population-based surveys are discussed.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.037
GPT teacher head0.311
Teacher spread0.274 · 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

Citations67
Published2011
Admission routes3
Has abstractyes

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