MétaCan
Menu
Back to cohort
Record W4362584309 · doi:10.3389/fsoc.2023.1138628

“Ah, it's best not to mention that here:” Experiences of LGBTQ+ health professionals in (heteronormative) workplaces in Canada

2023· article· en· W4362584309 on OpenAlexafffundabout
Stephanie R. Bizzeth, Brenda L. Beagan

Bibliographic record

VenueFrontiers in Sociology · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsDalhousie UniversityNova Scotia Health AuthorityDartmouth General Hospital
FundersCanadian Institutes of Health Research
KeywordsHeteronormativityLesbianTransgenderQueerGender studiesHeterosexismHuman sexualityQualitative researchSexual minoritySociologyNorm (philosophy)Health professionalsPsychologySocial psychologyHealth carePolitical scienceLaw

Abstract

fetched live from OpenAlex

Introduction: Despite human rights protections for lesbian, gay, bisexual, transgender, and queer (LGBTQ+) people, LGBTQ+ professionals may continue to experience discrimination working in heteronormative systems and spaces. Methods: In this qualitative study 13 health professionals (nurses, occupational therapists, and physicians) from across Canada participated in in-depth qualitative interviews to explore their experiences with work-related microaggressions and heteronormativity. Results: Heterosexist microaggressions from both patients/clients and colleagues were the norm, perpetuating and bolstered by heteronormative workplace and professional cultures. In turn, LGBTQ+ professionals navigated disclosure-decision-making, in power-laden contexts where all options carried potential negative consequences. Discussion: Drawing on the notion of "heteroprofessionalism," we argue that the concept of professional carries encoded within it demands that the occupant of that category be-or present as-heterosexual, an unmarked status that can be readily desexualized. Acknowledging sex and sexuality disrupts "professionalism." We argue that such disruption, indeed dissention, is necessary to open (hetero)professional spaces to LGBTQ+ workers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.058
GPT teacher head0.408
Teacher spread0.350 · 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

Citations28
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueFrontiers in SociologySame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207