Organizational benefits of neurodiversity: Preliminary findings on autism and the bystander effect
Bibliographic record
Abstract
Although the bystander effect is one of the most important findings in the psychological literature, researchers have not explored whether autistic individuals are prone to the bystander effect. The present research examines whether autistic employees are more likely to report issues or concerns in an organization's systems and practices that are inefficient or dysfunctional. By bringing attention to these issues, autistic employees may foster opportunities to improve organizational performance, leading to the development of a more adaptive, high performing, and ethical culture. Thirty-three autistic employees and 34 nonautistic employees completed an online survey to determine whether employees on the autism spectrum (1) are more likely to report they would voice concerns about organizational dysfunctions, (2) are less likely to report they were influenced by the number of other witnesses to the dysfunction, (3) if they do not voice concerns, are more likely to acknowledge the influence of other people on the decision, (4) are less likely to formulate "elaborate rationales" for their decisions to intervene or not, and (5) whether any differences between autistic and nonautistic employees with regards to the first two hypotheses, intervention likelihood and degree of influence, are moderated by individual differences in camouflaging. Results indicate that autistic employees may be less susceptible to the bystander effect than nonautistic employees. As a result, autistic employees may contribute to improvements in organizational performance because they are more likely to identify and report inefficient processes and dysfunctional practices when they witness them. These preliminary findings suggesting potential benefits of neurodiversity in the workplace are promising. However, further research is required.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".