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Record W2395838341 · doi:10.1177/1744987116640582

Meaningful support for lesbian and bisexual women navigating reproductive cancer care in Canada: An exploratory study

2016· article· en· W2395838341 on OpenAlexaffabout
Laura Legere, Judith A. MacDonnell

Bibliographic record

VenueJournal of research in nursing · 2016
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsYork UniversityRegistered Nurses' Association of Ontario
Fundersnot available
KeywordsLesbianReproductive healthSexual orientationSexual minorityNursingExploratory researchPopulationHealth careSocial supportPsychologyMedicineSocial psychologySociologyPolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

Health inequities for sexual minorities are well documented, but there is a gap in nursing research addressing the specific experiences faced by lesbian and bisexual women with reproductive cancers. This critical feminist study explored interactions between sexual minority women with reproductive cancers and their health care providers and how these interactions enable and create barriers to meaningful support. Purposeful convenience sampling was used to recruit lesbian and bisexual reproductive cancer survivors from Ontario, Canada and providers who have cared for this population. Five lesbian and one bisexual woman who were reproductive cancer survivors participated, as well as one registered nurse who was not a survivor but who has cared for sexual minority women with reproductive cancers. Face-to-face interviews were conducted and conventional content analysis was used to analyze the data. The authors report on findings related to meaningful support, interactions with providers and organisational environments. Narratives showed that an understanding of gender norms influenced women’s perceptions of supportive and inclusive care, such as the acknowledgment of social supports and barriers to supportive care that included disclosure of sexual orientation. There are implications for nursing education and policy change to enhance inclusive interactions and environments for diverse sexual minority women with reproductive cancers.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.171
GPT teacher head0.542
Teacher spread0.371 · 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.

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

Citations19
Published2016
Admission routes2
Has abstractyes

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