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Record W4411994075 · doi:10.15353/cjds.v12i1.969

Building a Community for Queer Disability Studies: Lessons from the Snail

2023· article· en· W4411994075 on OpenAlexvenueno aff
Harvey Humphrey, Edmund Coleman-Fountain, Charlotte Jones

Bibliographic record

VenueCanadian Journal of Disability Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsQueerSnailDisability studiesSociologyGender studiesEcologyBiology

Abstract

fetched live from OpenAlex

This article describes the Queer Disability Studies Network, a space set up for Queer Disability Studies academics and activists to find solidarity, particularly those experiencing marginalisation due to queerphobia, transphobia, intersexphobia and ableism in Disability, Queer, Trans and Intersex Studies; and for ideas in these disciplines to inform one another. The network was established to oppose the institutionalisation of ideas that would delegitimise trans lives and identities within academia and provides a space of solidarity and resistance within the neoliberal- ableist university. The article provides an explanation of the origins of the network. From this it uses the network’s snail motif to organise learnings from Trans, Queer, Intersex and Disability Studies into a set of ‘lessons’ for groups seeking to develop solidarities within academic and activist communities. These lessons raise critical questions related to concepts of 1) home, 2) temporalities and mobilities, and 3) embodiments and vulnerabilities. We conclude by discussing the implications of these lessons for practising solidarities and coalitional politics in contested times.

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)0.007
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.010
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.271
GPT teacher head0.472
Teacher spread0.201 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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