Autism Knowledge Matters: Perceptions of an Autistic Employee’s Competency and Attitudes Toward Workplace Social Inclusion
Bibliographic record
Abstract
Background: Autistic adults continue to have significant challenges obtaining and sustaining employment in a majority non-autistic world. Autistic adult employment challenges are often linked to differences in social behavior in the workplace compared with non-autistic adults. A lack of knowledge of autism and misunderstandings of autistic social behavior may result in negative perceptions of an autistic employee’s competency and their social acceptability as a coworker. Autistic adult employment support planning is informed by identifying factors linked to favorable perceptions of autistic employees. This study examined neurotype (autistic/non-autistic), interpretation of autistic employee behavior (understanding thoughts, feelings, and intentions behind behavior), autism knowledge, and autism experience as factors associated with perceptions of an autistic employee. Methods: Participants (77 autistic and 152 non-autistic) read a vignette describing a hypothetical autistic employee having a challenging workday. Participants completed measures of autism knowledge, autism experience, interpretation of the employee’s behavior, and perceptions of the employee’s competency and social acceptability as a potential coworker. Results: Autism knowledge significantly predicted more favorable ratings of the hypothetical autistic employee’s competency and suitability for their job ( b = 0.581, p < 0.001) and social acceptability as a potential coworker ( b = 0.439, p < 0.001), regardless of participant neurotype, behavior interpretation ability, and autism experience. However, autism knowledge was significantly more influential on competency and social acceptability scale scores when participants scored inaccurately on behavior interpretation ( b = −0.243, p = 0.02; b = −0.282, p = 0.01). Conclusions: This study associated greater knowledge of autism with more favorable perceptions of an autistic employee’s competence and social acceptability in the workplace. Findings point to autism workplace education as a promising support to address employment challenges for autistic adults. More favorable perceptions of autistic employees have the potential to reduce their need to mask autistic characteristics at work, improve their quality of work life, and support autistic adult employment success.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".