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Stepping into Who I Fully Am: A Creative Exploration of Autistic Menopause

2025· article· en· W4411687866 on OpenAlexaff
Rose Matthews, Margaret Janse van Rensburg, Miranda J. Brady, Rachel Moseley, Julie M. Turner‐Cobb

Bibliographic record

VenueInternational Journal of Disability and Social Justice · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsCarleton University
Fundersnot available
KeywordsPsychologyComputer science

Abstract

fetched live from OpenAlex

Research suggests that perimenopause can compound existing struggles for some Autistic people, with potentially catastrophic consequences. Barriers to self-expression due to communication differences are also well-documented. Acknowledging this, our neurodiverse research team invited creative submissions themed around Autistic experiences of menopause, receiving works from six Autistic participants including paintings, poetry, and graphic works. Engaging with the six creative submissions, Autistic Community Researchers on our team produced reflexive, polytextual response works. Creative exploration of Autistic menopause encouraged emotional catharsis, self-understanding, and activism/artivism. Autistic Community Researchers noted transcendent, almost “magical” dimensions of connecting with other Autistic people’s lived experiences. Our creative emancipatory approach enabled Autistic, multimedia responses which traditional research methods would not have elicited. To our knowledge, no other studies to date have used arts-based research to explore Autistic people’s experiences of menopause and inclusive research practices.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.019
Scholarly communication0.0070.003
Open science0.0020.013
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.390
Teacher spread0.356 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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