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Record W2048541986 · doi:10.1080/10538712.2011.539963

Practical Ways Psychotherapy Can Support Physical Healthcare Experiences for Male Survivors of Childhood Sexual Abuse

2011· article· en· W2048541986 on OpenAlexaff
Angela Hovey, Carol Stalker, Candice L Schachter, Eli Teram, Gerri Lasiuk

Bibliographic record

VenueJournal of Child Sexual Abuse · 2011
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of AlbertaUniversity of SaskatchewanWilfrid Laurier University
Fundersnot available
KeywordsSexual abuseHealth carePsychologyPhysical abuseQualitative researchChild sexual abuseChild abuseSuicide preventionPsychotherapistPsychiatryPoison controlNursingMedicineClinical psychologyMedical emergency

Abstract

fetched live from OpenAlex

Many survivors of child sexual abuse who engage in psychotherapy also experience physical health problems. This article summarizes the findings of a multiphased qualitative study about survivors' experiences in healthcare settings. The study informed the development of the Handbook on Sensitive Practice for Health Care Practitioners: Lessons from Adult Survivors of Childhood Sexual Abuse (Schachter, Stalker, Teram, Lasiuk, & Danilkewich, 2009), which is intended to help healthcare providers from all disciplines understand the effect of child sexual abuse on some survivors' abilities to access and benefit from health care. This paper discusses what psychotherapists can learn from the healthcare experiences of the male survivors who participated in this project. It also offers practical suggestions for supporting male clients who experience difficulty seeking treatment for physical health concerns.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0050.005
Open science0.0030.014
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0090.002

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 head0.070
GPT teacher head0.355
Teacher spread0.285 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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