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Record W4200251224 · doi:10.1177/10778012211060861

Barriers to Help-Seeking for Sexual Violence Among Married or Cohabiting Women in Ghana

2021· article· en· W4200251224 on OpenAlexafffund
Gervin Ane Apatinga, Eric Y. Tenkorang

Bibliographic record

VenueViolence Against Women · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMemorial University of NewfoundlandUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHelp-seekingDomestic violenceSexual violenceScholarshipSocial stigmaStigma (botany)PsychologyPoison controlSuicide preventionMedicineCriminologySocial psychologyPsychiatryEnvironmental healthPolitical scienceFamily medicineHuman immunodeficiency virus (HIV)Mental health

Abstract

fetched live from OpenAlex

While sexual violence against women has gained attention in sub-Saharan Africa, research examining help-seeking remains limited. Scholarship on barriers to help-seeking among sexually abused married or cohabiting women is particularly lacking. We used the barriers model and held 15 in-depth interviews with sexually abused Ghanaian married or cohabiting women to examine help-seeking behaviors. Participants identified multiple barriers to help-seeking, including financial difficulties, lack of social support, and stigma. The results corroborate the barriers model's formulation of the challenges faced by female survivors in reporting violence. They indicate the need to improve laws to promote help-seeking among women with experiences of sexual violence.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.305
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 teacher head, not a consensus.

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

Citations26
Published2021
Admission routes2
Has abstractyes

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