“What If My Body Is a Beacon for the World?”: Autistic Non-speaking Languaging, Movement and S/Pacetime
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".