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Record W4401482244 · doi:10.1080/26895269.2024.2389924

Experiences of menopause among non-binary and trans people

2024· article· en· W4401482244 on OpenAlexaff
Michael Toze, Sue Westwood

Bibliographic record

VenueInternational Journal of Transgender Health · 2024
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsMenopauseBinary numberPsychologyGerontologyMedicineMathematicsInternal medicineArithmetic

Abstract

fetched live from OpenAlex

Background: Conventional categorizations of menopause can be difficult to apply to trans, gender non-conforming and non-binary (TGNB) populations. Menopause has biological, psychological and social meanings that may be hard to clearly apply within a context of diverse experiences of sex and gender. Nonetheless, some TGNB people do experience menopause, and their experiences may be different from those of other groups due to those diverse biopsychosocial understandings and experiences. Method: This paper thematically analyses the responses of 15 TGNB respondents who responded to a larger survey about LGBTQ+ experiences of menopause. Results: Two key themes were identified: Menopause and embodied identities, and Navigating gender normativity and gender binarism. The first of these contains two sub-themes, shifting and (un)settled gender identities, and embodied dis/connections with femaleness. Conclusions: These findings appear to be comparatively novel within the published academic literature but potentially have some parallels with prior observations regarding interactions between puberty and gender identity, and also regarding TGNB people's experiences of challenges in navigating other health and life experiences normatively understood as female. These explorations raise a number of potentially sensitive questions, given the current debate and controversies around gender, sex and identity. Nonetheless, they point to a need for further research and practice into menopause that is inclusive and supportive of a range of gender and sexual identities.

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)0.000
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 score0.890
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.405
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

Citations23
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Transgender HealthSame topicLGBTQ Health, Identity, and PolicyFrench-language works237,207