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Record W2946818498 · doi:10.1080/09687599.2019.1603102

Doing it differently: emancipatory autism studies within a neurodiverse academic space

2019· article· en· W2946818498 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisability & Society · 2019
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsSpace (punctuation)AutismPsychologySociologyDevelopmental psychologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

In the current research climate, in which many autistic and autism communities are increasingly calling for a move towards collaborative forms of research, we consider how a loosely formed epistemological community may serve to challenge ‘business as usual’ in the academy. Mindful of the need to move beyond theory, we use this experience to concretely consider how knowledge about autism and neurotypicality can be meaningfully (co)-produced, and made available both to the research community and also to autistic and autism communities. Here, we use our own co-production of this article to explore how autistic experience may trouble normative meanings of academic knowledge production. We also consider the limits and possibilities of a neurodiverse research collaboration to reflect on ways in which a loose epistemological space may serve to contribute to knowledge about both autism and neurotypicality, adding to debate around collaborative research.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.074
GPT teacher head0.361
Teacher spread0.287 · 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