Neurotype and participatory autism knowledge predict perceptions of an autistic employee in the workplace
Bibliographic record
Abstract
Introduction Autistic adults are unemployed at much higher rates than the general population. Differences due to autistic traits, including social skills differences, are often barriers to autistic adults obtaining and retaining employment in non-autistic workplaces. The double empathy problem (DEP) posits that autistic social differences are not due to assumed autistic social impairment but to mutual misunderstandings within the autistic/non-autistic social interaction. Consistent with the DEP, autistic adults are more likely to accurately interpret the behavior of an autistic employee, compared to non-autistic adults. This study examined additional factors, beyond neurotype, that are associated with accurate interpretation of the behavior of an autistic employee. Methods A sample of 73 autistic and 140 non-autistic participants read a vignette about a hypothetical autistic employee in a non-autistic workplace having a difficult workday. Participants completed questions about their interpretation of the employee's behavior, an autism knowledge measure, autism experience questions, and demographic information. Results General autism knowledge, but not autism experience, was an influential predictor of accurate behavior interpretation toward the autistic employee and negated the predictive influence of education level, income, and gender identity of participants (OR = 1.12, p < 0.001). However, regardless of the level of autism knowledge, autistic participants continued to be significantly more likely to accurately interpret the behavior of the autistic employee, compared to non-autistic participants (OR = 2.94, p = 0.02). Discussion Results continue to contribute support for the DEP within the context of autistic employment challenges. Findings also point to autism education as a promising autism workplace support in addressing the DEP and barriers autistic adults face with obtaining and retaining employment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".