Bibliographic record
Abstract
Background \nThere is little existing research on attitudes towards autism in an undergraduate population. This study aims to assess implicit attitudes (IA) towards individuals with autism while observing gender differences on empathy scores and knowledge of autism with an undergraduate population. \n \nMethod \nThe current study involves 27 females and 26 males. The Autism Awareness Scale measured knowledge towards autism, the Toronto empathy questionnaire measured empathy. The Implicit Association Test measured IA based on reaction times. \n \nResults \nNo differences were found between males and females on empathy or autism knowledge. Similarly, negative IA correlated with lower empathy, autism knowledge and frequency of contact but non-significantly. \n \nConclusion \nThis study contrasts with previous research indicating females score higher on autism knowledge and empathy. Findings indicate more research is needed on the impact of higher levels of empathy, knowledge and frequency of contact on positive IA towards individuals with autism within the undergraduate population.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".