Autism, Expert Discourses, and Subjectification: A Critical Examination of Applied Behavioural Therapies
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
Applied behavioural therapies are widely adopted interventions that have become the standard of healthcare and expert knowledge for autistic people in Canada. These therapies are methods of individualized behavioural modification whereby skills are taught, and socially “undesirable” or “inappropriate” behaviour is regulated according to expert claims that focus on correction, imitation, repetition, reinforcements, and environmental modification. Despite their prevalence, these therapies are highly controversial methods within autism communities, with mostly non-autistic parents and clinicians as their main proponents, and autistic self-activists as their critics. The ethnographic research presented will examine the culture, training, and knowledge practices of behavioural therapy providers in Ontario, to study disciplinary techniques that are used to create expert subjects. In order to operate as a technology for producing optimal results in the autistic subject, working as a behavioural therapist involves multiple techniques such as completing intensive exercises consisting of audible and textual surveillance, recorded sessions, and intra-therapeutic replicability. These techniques and exercises often work to discipline expressions of care in accordance with a “psychocentric” framework for understanding autism and supporting autistic people.
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 | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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