Lay beliefs about autism spectrum disorder among the general public and childcare providers
Bibliographic record
Abstract
We conducted a survey of beliefs about autism among the general public in the United States and Canada (n = 823) and among individuals working in childcare facilities in the state of Idaho (n = 176). Results included the following. Almost all respondents correctly believed that autism's primary causes are genetic and neurological (not parenting, drugs, or current diet), that it can be identified in early childhood, and that helpful interventions exist. Respondents generally distinguished diagnostic from non-diagnostic traits, but approximately half incorrectly labeled constant squirming as diagnostic and difficulties in making friends as non-diagnostic. College graduates and childcare workers were more likely to have learned about autism in professional/academic settings and to correctly recognize diagnostic traits. Of concern, 10% of respondents considered vaccinations to be among the two main causes of autism. Accurate public understanding of autism spectrum disorders can facilitate early identification and effective intervention; our results suggest that efficient channels for conveying accurate information include broadcast and online media (from which the general public, especially members of ethnic minority groups, were most likely to learn about autism), and professional development courses for childcare providers.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".