Gender differences in self-reported camouflaging in autistic and non-autistic adults
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social camouflaging describes the use of strategies to compensate for and mask autistic characteristics during social interactions. A newly developed self-reported measure of camouflaging (Camouflaging Autistic Traits Questionnaire) was used in an online survey to measure gender differences in autistic ( n = 306) and non-autistic adults ( n = 472) without intellectual disability for the first time. Controlling for age and autistic-like traits, an interaction between gender and diagnostic status was found: autistic females demonstrated higher total camouflaging scores than autistic males (partial η 2 = 0.08), but there was no camouflaging gender difference for non-autistic people. Autistic females scored higher than males on two of three Camouflaging Autistic Traits Questionnaire subscales: Masking (partial η 2 = 0.05) and Assimilation (partial η 2 = 0.06), but not on the Compensation subscale. No differences were found between non-autistic males and females on any subscale. No differences were found between non-binary individuals and other genders in either autistic or non-autistic groups, although samples were underpowered. These findings support previous observations of greater camouflaging in autistic females than males and demonstrate for the first time no self-reported gender difference in non-autistic adults.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it