Social Camouflage in Autism: An Analysis of Decision Making
Bibliographic record
Abstract
The practice of social camouflage , or the modification of one’s behaviors to be better perceived by others in one’s environment, is an old one. Recently, it has received much interest as it pertains to people on the autism spectrum. The autism literature includes explorations of how social camouflage should be defined, why it occurs (e.g., the societal pressures that give rise to it), and its impacts on quality of life and mental health. In this article we complement this work with a conceptual model focusing on reflective cognitive aspects, which provides a social analysis of how social camouflage takes place, with respect to personal costs and potential social gains. This model is informed both by autistic lived experience (M.G.) and current research findings. We hope that this model can serve as a tool to empower people on the autism spectrum when reflecting on every day social decision making and that it will spark further research to understand the details of autistic social camouflage, which can, in turn, be used to refine the model.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".