Neuroqueer(ing) Noise: Beyond ‘Mere Inclusion’ in a Neurodiverse Early Childhood Classroom
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.
Bibliographic record
Abstract
Inclusion, as it is understood in a British education context, usually refers to the integration of children with dis/abilities into a mainstream school. However, rather than transform the school, inclusion often seeks to rehabilitate—to tune-up—the ‘divergent’ child’s noisy tendencies, making them more easily included. Music and the arts more broadly have long been instrumentalized as one way of achieving this transformation, relying on the assumption that there is something already inherently opposed to music—out-of-tune, or noisy—about that child. In this article, I think and compose with Neuroqueer(ing) Noise, a music research-creation project conducted in an early childhood classroom. I draw from affect and neuroqueer theories to consider how the instrumentalization of music as a way to include autistic children relies on the assumption that ‘they’ are already inherently unmusical. I consider how a deliberate attention to noise might help in unsettling ‘mere inclusion’: in effect, changing the mode we think-with in education, and opening us—researchers and educators—to momentarily say “No!” to ‘mere inclusion’. This article is of relevance to teachers working in early childhood classrooms, as well as to educational researchers interested in affect theories, crip-queer and neuroqueer theories, and neurodiversity, as well as sound- or arts-based research methods.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it