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Record W2118760349 · doi:10.1080/10503300903505274

Efficacy of two versions of emotion-focused therapy for resolving child abuse trauma

2010· article· en· W2118760349 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychotherapy Research · 2010
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Windsor
FundersUniversity of Windsor
KeywordsPsychologyClinical psychologySexual abusePsychological abuseDistressNeglectPsychotherapistChild abusePhysical abuseAttritionEmotional distressInterpersonal communicationBorderline personality disorderInterpersonal violencePsychiatryInjury preventionPoison controlMedicineAnxietyMedical emergency

Abstract

fetched live from OpenAlex

This study evaluated and compared emotion-focused therapy for trauma (EFTT) with imaginal confrontation (IC) of perpetrators (n=20) and EFTT with empathic exploration (EE) of trauma material (n=25). Clients were women and men with histories of different types of childhood maltreatment (emotional, physical, and sexual abuse; emotional neglect). Clients were randomly assigned to treatment condition. Outcome measures assessed symptom distress, self and interpersonal problems, and abuse resolution. Results indicated statistically and clinically significant improvements on eight measures at posttest, maintenance of gains at follow-up, and no statistically significant differences between conditions. There were higher rates of clinically significant change in IC and a lower attrition rate for EE (7% vs. 20%). More severe personality pathology negatively influenced some dimensions of outcome, particularly in EE.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.089
GPT teacher head0.434
Teacher spread0.345 · 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