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Record W2792731374 · doi:10.1177/1077801218761602

Mental Health Among Help-Seeking Urban Women: The Relationships Between Adverse Childhood Experiences, Sexual Abuse, and Suicidality

2018· article· en· W2792731374 on OpenAlexafffund
Kevin Hamdullahpur, Kahá wi J. Jacobs, Kathryn Gill

Bibliographic record

VenueViolence Against Women · 2018
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsNeglectPsychiatrySexual abuseMental healthAdverse Childhood ExperiencesPoison controlSuicide preventionMedicineInjury preventionOccupational safety and healthClinical psychologyDomestic violenceDistressPsychologyMedical emergency

Abstract

fetched live from OpenAlex

Adverse childhood experiences (ACEs) and adult mental health were explored in a sample of urban Aboriginal ( n = 83) and non-Aboriginal ( n = 89) women. Childhood sexual abuse (CSA) was associated with negative home environments, teenage pregnancy, lifetime suicide attempts, and treatment seeking. Aboriginal women with CSA witnessed higher levels of physical/sexual abuse of family members. The severity of current psychological distress was associated with a history of childhood neglect. The results indicate that CSA rarely occurs in isolation, and that multiple ACEs are strongly associated with suicide attempts and treatment seeking in adulthood. Future studies should focus on the role of CSA in suicidality, as well as familial, community, and cultural protective factors.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.281
Teacher spread0.258 · 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 designObservational
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

Citations24
Published2018
Admission routes2
Has abstractyes

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