Blackpill Science: Involuntary Celibacy, Rational Technique, and Economic Existence under Neoliberalism
Bibliographic record
Abstract
Background: This article explores the “scientific blackpill,” used by those in contemporary digital incel communities to describe living as involuntarily celibate. To take the scientific blackpill is to both see and develop a rigid social hierarchy that attempts to explains the incel’s sexual and social lacks. Analysis: Through a discourse analysis of the largest web forum for self-identified “incels,” this article finds that the “scientific blackpill” acts as a Foucauldian “technology of the self,” designed to both explain and reverse the incel’s perceived social oppressions. Conclusion and Implications: Designed in an attempt to emulate the objectifying behaviour of masculinity under neoliberalism, the blackpill legitimates the very social behaviours that devalue the incel’s social existence.
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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 | 0.002 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".