Weaponized Autism: Making Sense of Violent Internalized Ableism in Online Incel Communities
Bibliographic record
Abstract
Much attention has been paid to incel communities in recent years. Comprised of involuntary celibate individuals who are dissatisfied with their shared experiences of romantic and sexual rejection, incels blame women and the societal rejection of hegemonic masculinity as the cause of their grievances. Current scholarship has produced conflicting results regarding the prevalence of autism within incel communities when compared to the general population. At the same time, no research to date has explored the intersection of incels and autism using perspectives from individuals in the incel community. Using a critical autism lens, this present study thematically analyzes 20 online incel message boards to explore the sense-making of self-identified autistic incels. Findings indicate that incels’ internalized ableism of autism is employed to categorically justify the victimhood and entitlement that grounds their ideology. This weaponization of autism is then used to promote ableism and networked misogyny. Implications for understanding ableist and misogynistic beliefs associated with inceldom are provided.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".