Semiotic Stalemate: Resisting Restraint and Seclusion through Guattari’s Micropolitics of Desire
Bibliographic record
Abstract

 
 
 This article explores the semiotic relationships between Applied Behavior Analysis research, special education practice and restraint and seclusion policy by tracing the evolution of the concept of “self-restraint,” —a term from Behavior Analytic literature for a variety of “behaviors” in which a person restricts their own movement. I trace how “self-restraint” emerges as a new class of behaviors eligible for intervention, and how this marks certain bodies for restrictive practices such as restraint, seclusion and the use of aversives. I explore how rhetorical moves shape the educational landscape of disabled students and expose mechanisms of control that are shaped by scholarship. By using “self-restraint” as an example, I respond to the taxonomies of deficit disseminated through Applied Behavioral Analysis in schooling for neurodivergent students and make critical links between special education practice and Disability Studies in Education.
 
 
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".