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Beyond “Survivor”: How Childhood Sexual Abuse Informs the Identity of Adult Women at the End of the Therapeutic Process

2004· article· en· W2134217683 on OpenAlexaff
Alexis Phillips, Judith C. Daniluk

Bibliographic record

VenueJournal of Counseling & Development · 2004
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologySexual abuseIdentity (music)Interpretative phenomenological analysisPsychology of selfDevelopmental psychologyQualitative researchPerceptionPsychotherapistClinical psychologySocial psychologySuicide preventionPoison controlMedicineSociology

Abstract

fetched live from OpenAlex

A qualitative method was used to explore how adult women experienced their identity after extensive therapy to deal with childhood sexual abuse. Seven women shared their healing journeys and their perceptions of the role of the abuse in their current life and self‐perceptions. Phenomenological analysis of the interview data revealed 5 common themes related to participants' self‐definition and self‐acceptance, sense of visibility and connection to others, current worldview, and residual losses. These findings are discussed in terms of their implications for trauma counselors.

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)0.007
metaresearch head score (Gemma)0.014
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 score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0010.002
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 head0.010
GPT teacher head0.258
Teacher spread0.248 · 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

Citations79
Published2004
Admission routes1
Has abstractyes

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