MétaCan
Menu
Back to cohort
Record W4409289719 · doi:10.1163/15685241-20241559

“What If My Body Is a Beacon for the World?”: Autistic Non-speaking Languaging, Movement and S/Pacetime

2025· article· en· W4409289719 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

VenueKronoScope · 2025
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsYork University
Fundersnot available
KeywordsMovement (music)Cognitive scienceAutistic spectrumCommunicationEpistemologyPsychoanalysisAutismPsychologyPhilosophyAestheticsDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract This paper explores the unique perceptual experiences and expressive capabilities of non-speaking autistic individuals, particularly through the lens of Adam Wolfond’s poetic and artistic works. Together, we delve into the concept of “the open”, a multifaceted term used by Wolfond to describe the expansive and often overwhelming sensory experiences of autistic perception. The paper challenges the pathologized view of autism by highlighting the richness and depth of autistic perception which foregrounds details and fosters a unique form of relational and artistic expression that attunes to paces of patterns. Through a combination of poetic excerpts, theoretical insights and personal narratives, we advocate for a reimagining of inclusion and support for neurodiverse individuals, emphasizing the importance of attuning to the additive, undulating, and liquid expressions that characterize Wolfond’s experiences. This work ultimately calls for a shift away from normative expectations and conceptions of spacetime towards a more permeable, relational understanding of neurodiversity.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.572
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.018
GPT teacher head0.330
Teacher spread0.312 · 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