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Record W3098126733 · doi:10.1080/10538720.2023.2252752

Women’s experience of obtaining health and social services following intimate partner violence: Lesbian, gay, bisexual, transgender, and queer relationships in rural communities

2023· article· en· W3098126733 on OpenAlexaff
Emily E. Soares, Kimberley T. Jackson, Tara Mantler, Abe Oudshoorn

Bibliographic record

VenueSexual and Gender Diversity in Social Services · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsWestern University
Fundersnot available
KeywordsLesbianRuralityTransgenderQueerDomestic violenceGender studiesPsychologySexual orientationHuman sexualitySexual minoritySociologyRural areaMedicinePoison controlSuicide preventionEnvironmental health

Abstract

fetched live from OpenAlex

The purpose of this secondary analysis was to explore the intersection of gender, sexuality, and rurality in a person’s experience of seeking health and social services following intimate partner violence (IPV). Data from the primary study, SPEAK: Sharing Personal Experiences of Accessibility and Knowledge of Violence, were used for this secondary analysis. This study reviewed the experience of women who identified as being lesbian, gay, bisexual, transgender, and/or queer (LGBTQ) and lived in a rural community. With an intersectional lens, this study employed an interpretive description approach utilizing a case-study design, and the experiences of LGBTQ women who had experienced IPV seeking health and social services in rural communities were explored. Data collected from demographic questionnaires and one-to-one interviews indicated that gender and sexual identity present challenges when intersecting with rurality and IPV. Identifying as LGBTQ may hinder a woman’s ability to seek help from healthcare and social services. These findings may be useful to inform future practice and policies pertaining to resources and services available for rural LGBTQ women who have experienced IPV when seeking care.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.206
GPT teacher head0.389
Teacher spread0.183 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueSexual and Gender Diversity in Social ServicesSame topicIntimate Partner and Family ViolenceFrench-language works237,207