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Record W2136698482 · doi:10.1300/j070v16n02_04

The Experience of Trauma Recovery: A Qualitative Study of Participants in the Women Recovering from Abuse Program (WRAP)

2007· article· en· W2136698482 on OpenAlexaff
Alyson Parker, Anne Fourt, Judith I. Langmuir, Erin Dalton, Catherine Classen

Bibliographic record

VenueJournal of Child Sexual Abuse · 2007
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsWomen's College HospitalUniversity of TorontoSt Joseph's Health Care
Fundersnot available
KeywordsQualitative researchClinical psychologyPsychologyChild abuseSexual abusePsychotherapistSuicide preventionPoison controlPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

The efficacy of intensive group treatment programs for child maltreatment has been established. The aim of this qualitative study was to understand how women with a history of child maltreatment experienced the Women Recovering from Abuse Program (WRAP), an existing intensive group treatment program. Seven women were interviewed following their participation in WRAP. Three themes emerged: Breaking Trauma-Based Patterns, Doing Therapy, and The Healing Journey as a Continuous Process. These findings deepen our understanding about how participants view the recovery process. Theoretical and clinical implications 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)0.010
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.013
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0030.005
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 head0.060
GPT teacher head0.397
Teacher spread0.337 · 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 designQualitative
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

Citations27
Published2007
Admission routes1
Has abstractyes

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