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Record W4410077115 · doi:10.1177/3033371251323514

Capturing “Crip Desires” in “Crip Ways”: Developing Inclusive Qualitative Methodologies for Sexualities Research

2025· article· en· W4410077115 on OpenAlexaff
Alan Santinele Martino, Thomas Tri, Rachell Trung, Oscar E. Hughes

Bibliographic record

VenueSex & Sexualities · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsQualitative researchHuman sexualitySociologyGender studiesAnthropology

Abstract

fetched live from OpenAlex

The intersection of disability and sexuality is an exciting area of scholarship that offers fresh perspectives and critical insights into how disabled people navigate desire, intimacy, and pleasure. This emerging field challenges traditional boundaries within the sociology of sexualities, calling into question who is included in this research and how normative assumptions shape discourse and methodology. Yet despite this growing literature, disabled people remain systematically marginalized in gender and sexuality research. Their voices are often excluded due to institutional gatekeeping and ableist stereotypes that infantilize or hypersexualize them. This article argues for inclusive, participatory qualitative methodologies—rooted in “crip” theoretical frameworks—that recognize disabled people as experts in their own lives. By embracing innovative approaches, such as arts-based and diverse communication methods, researchers can create more accessible spaces that allow disabled people to share their experiences on their own terms. Such approaches facilitate knowledge cocreation and foreground the complexity and richness of disabled people’s sexual and relational worlds. Although progress has been made, substantial gaps remain, particularly for those with intersecting marginalized identities. This article highlights the necessity of centering disabled voices in conversations about sexuality, thereby broadening the sociological imagination and fostering a future in which disabled people’s desires, pleasures, and relationships are not only acknowledged but also celebrated.

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)0.101
metaresearch head score (Gemma)0.062
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1010.062
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.796
GPT teacher head0.711
Teacher spread0.085 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations1
Published2025
Admission routes1
Has abstractyes

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