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Record W1995391903 · doi:10.3109/01612840.2013.799721

Nurses’ Perspectives on the Care of Adults with Mental Health Problems and Histories of Childhood Sexual Abuse

2013· article· en· W1995391903 on OpenAlexaff
Wanda M. Chernomas, Elaine Mordoch

Bibliographic record

VenueIssues in Mental Health Nursing · 2013
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSexual abuseMental healthNursingHealth carePsychologyMedicineSuicide preventionPsychiatryPoison controlMedical emergency

Abstract

fetched live from OpenAlex

Despite growing awareness and evidence linking childhood sexual abuse (CSA) to numerous ongoing health problems in adulthood, the integration of this knowledge into nursing practice remains inconsistent. This article reports the results of a study that explored nurses' perspectives on, and experiences with, providing care for adults with mental health problems who may also have histories of CSA. Nurses' views underscore the challenges and complexities involved when providing care for this population. The themes of nurses' knowledge and comfort levels, ethical practice, patient care considerations, and system issues are used to discuss nurses' understandings, perspectives, and experiences.

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)0.009
metaresearch head score (Gemma)0.017
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 score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0050.004
Open science0.0010.007
Research integrity0.0020.005
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 head0.013
GPT teacher head0.324
Teacher spread0.311 · 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

Citations8
Published2013
Admission routes1
Has abstractyes

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