Why do Sensory Experiences in Autism Vary? An Explanation from Cognitive Linguistics
Bibliographic record
Abstract
Sensory perceptual experiences are now directly associated with the diagnosis of Autism Spectrum Disorder (ASD). Given that autism is a heterogenous disorder, literature abounds in evidences that report varied sensory perceptual issues affecting daily lives of individuals with autism. One question that motivated the current study is “Why do they report to have varied sensory profiles?” The answer lies in the way their bodies interact with the world around them—theory of embodiment in cognitive linguistics. Thirteen children with autism were observed through SPCR (Sensory Profile Checklist Revised (Bogdashina, 2003)) against 20 categories, which Bogdashina (2003) refers to as their bodily resources. Out of seven modalities, only three—vision, hearing and proprioception—were studied for current study. The findings were consistent with the embodiment thesis offered by cognitive linguistics—human beings are embodied beings.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".