Quantifying social skill deficits and strengths profiles in autistic youth
Bibliographic record
Abstract
Abstract While social difficulties in autism are well-established, questions remain regarding whether these represent challenges in acquiring or performing such skills, reduced social strengths, or a unique distribution across these domains (i.e., social profile). This study empirically derived social profiles of 211 autistic and non-autistic youth (M age = 13.50; Autistic N = 150; Male N = 151; 85.3% White). Assessments occurred between 2016 and 2020. Results showed that autistic youth exhibit significantly more social acquisition and performance deficits and fewer strengths than nonautistic youth (ds = −.44 to .65). Performance deficits were most—and acquisition deficits least—prominent within autistic profiles, potentially implicating longstanding theoretical models of social difficulties in autism, and supporting new, idiographic approaches for conceptualizing, assessing, and treating social challenges.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".