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Record W4388446989 · doi:10.1080/00918369.2023.2276320

The Experiences of 2SLGBTQ+ Adults Labeled with Intellectual and/or Developmental Disabilities When Navigating Mainstream Queer Social Spaces

2023· article· en· W4388446989 on OpenAlexaff
Alan Santinele Martino, Eleni Moumos, Noah Ulicki, Meghan Robbins

Bibliographic record

VenueJournal of Homosexuality · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsQueerMainstreamInclusion (mineral)Gender studiesSociologyQualitative researchFeelingExploratory researchDisability studiesPsychologySocial psychologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Drawing on interviews with 31 2SLGBTQ+ people labeled with developmental and/or intellectual disabilities, this exploratory study focuses on participants' experiences navigating mainstream queer social spaces. The current study is an explorative qualitative view at the intersection of the 2SLGBTQ+ and disability community. There is a call for more inclusive spaces for people with disabilities within queer social areas. Although queer spaces attempt to be free and inclusive, many have inaccessible activities and locations. The findings depict that individuals with lived experiences are not often represented in the 2SLGBTQ+ community due to a lack of inclusion. Participants highlighted feelings of rejection as people with disabilities were not represented in many 2SLGBTQ+ focused groups or organizations. The current paper calls attention to creating more inclusive intersectional spaces to promote inclusivity and ensure people with disabilities have the opportunity to contribute through an active role in the 2SLGBTQ+ community.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0110.009
Scholarly communication0.0050.004
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.044
GPT teacher head0.349
Teacher spread0.306 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

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