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Record W2937760422 · doi:10.1111/hsc.12757

“Automatic assumption of your gender, sexuality and sexual practices is also discrimination”: Exploring sexual healthcare experiences and recommendations among sexually and gender diverse persons in Arctic Canada

2019· article· en· W2937760422 on OpenAlexafffundabout
Carmen H. Logie, Candice Lys, Lisa V. Dias, Nicole Schott, Makenzie R. Zouboules, Nancy MacNeill, Kayley Inuksuk Mackay

Bibliographic record

VenueHealth & Social Care in the Community · 2019
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsPublic Health OntarioWomen's College HospitalUniversity of Toronto
FundersCanadian Institutes of Health ResearchConnaught FundCanada Research Chairs
KeywordsHealth careLesbianHuman sexualitySexual minorityTransgenderHealth equityPsychologyThematic analysisHeterosexismReproductive healthQualitative researchSexual orientationGender studiesMedicinePolitical scienceSocial psychologySociologyPopulationEnvironmental health

Abstract

fetched live from OpenAlex

Sexual and mental health disparities are reported in Arctic Canada as in other Arctic regions that experience shared challenges of insufficient healthcare resources, limited transportation, and a scarcity of healthcare research. Lesbian, gay, bisexual, transgender, and queer persons (LGBTQ+) report sexual and mental health disparities in comparison with their heterosexual and cisgender counterparts, and these disparities may be exacerbated in rural versus urban settings. Yet limited research has explored sexual healthcare experiences among LGBTQ+ persons in the Arctic who are at the juncture of Arctic and LGBTQ+ health disparities. We conducted a qualitative study from May 2015 to October 2015 with LGBTQ+ persons in the Northwest Territories, Canada that involved in-depth individual interviews with LGBTQ+ youth (n = 16), LGBTQ+ adults (n = 21), and key informants (e.g. coaches, teachers, nurses, social workers, and healthcare providers) (n = 14). We conducted thematic analysis, a theoretically flexible approach that integrates deductive and inductive approaches, to identify and map themes in the data. Findings reveal geographical, social, and healthcare factors converge to shape healthcare access. Specifically, the interplay between heterosexism and cisnormativity, intersectional forms of stigma, and place limited LGBTQ+ persons' sexual healthcare access and produced negative experiences in sexual healthcare. Limited healthcare facilities in small communities resulted in confidentiality concerns. Heteronormativity and cisnormativity constrained the ability to access appropriate sexual healthcare. LGBTQ+ persons experienced LGBTQ+, HIV, and sexually transmitted infections stigma in healthcare. Participants also discussed healthcare provider recommendations to better serve LGBTQ+ persons: non-judgment, knowledge of LGBTQ+ health issues, and gender inclusivity. Findings can inform multi-level strategies to reduce intersecting stigma in communities and healthcare, transform healthcare education, and build LGBTQ+ persons' healthcare navigation skills.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.310
GPT teacher head0.464
Teacher spread0.154 · 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 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

Citations60
Published2019
Admission routes3
Has abstractyes

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