What Do Incels Want? Explaining Incel Violence Using Beauvoirian Otherness
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
Abstract In recent years, online “involuntary celibate” or “incel” communities have been linked to various deadly attacks targeting women. Why do these men react to romantic rejection with not just disappointment, but murderous rage? Feminists have claimed this is because incels desire women as objects or, alternatively, because they feel entitled to women's attention. I argue that both of these explanatory models are insufficient. They fail to account for incels’ distinctive ambivalence toward women—for their oscillation between obsessive desire and violent hatred. I propose instead that what incels want is a Beauvoirian “Other.” For Beauvoir, when men conceive of women as Others, they represent them as simultaneously human subjects and embodiments of the natural world. Women function then as sui generis entities through which men can experience themselves as praiseworthy heroes, regardless of the quality of their actions. I go on to give an illustrative analysis of Elliot Rodger's autobiographical manifesto, “My Twisted World.” I show how this Beauvoirian model sheds light on Rodger's racist and classist attitudes and gives us a better understanding of his ambivalence toward women. It therefore constitutes a powerful and overlooked theoretical alternative to accounts centered on objectification and entitlement.
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.
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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it