Cognition sociale et sens de l’agentivité en autisme : de l’action à l’interaction
Bibliographic record
Abstract
The sense of agency (SoA) refers to the ability for one to detect that she is the cause of an action (Gallagher, 2000). The SoA is linked to motor control but also to self-awareness and could play an important role in social interactions. Autism spectrum disorder (ASD) is characterized by an alteration of social interactions and communication (DSM-5; APA, 2013) and is often seen as a primary deficit of functions specific to social cognition. However, motor control is also altered in ASD. We hypothesize that motor symptoms and social impairments could both arise from the same alteration of SoA. We first introduce theoretical models of implicit and explicit SoA (Synofzik et al., 2008) and present their neurofunctional basis. Then, we assess the clinical expressions of a disrupted SoA in different neuropsychiatric disorders such as schizophrenia. In ASD, the atypical formation of internal models of action during motor acquisition (Haswell et al., 2009) could be at the source of an altered implicit SoA. A lack of fidelity of sensorimotor agency cues (Zalla et al., 2015) could also entail an alteration of explicit SoA. We discuss the main clinical expressions of ASD that may ensue from a disrupted SoA (difficulties in theory of mind and imitation, deficits in motor coordination and praxis, etc.).
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".