Bibliographic record
Abstract
An emblematic association exists between meat consumption and the gender identity hegemonic masculinity. This association is so strong that men who pursue meatless diets (especially vegans) are likely to be socially ostracized. Heganism is a diet/gender identity that aims to reconstruct hegemonic masculinity with the goal of removing these stigmas attached to male veganism. Yet heganism fails to do this, and, in fact, worsens the marginalization of male vegans. Therefore, heganism ought to be rejected. Instead, an alternative option for reducing the marginalization of male vegans could be found in the emergent literature on non-hegemonic masculinities. By rejecting hegemonic masculinity and publicizing the range of other masculine identities that exist, there is an opportunity for men to utilize their agency and interpret masculinity in their own way – especially with regards to dietary preference. In this way, focusing on non-hegemonic masculinities offers an encouraging avenue for reducing the social stigmas attached to male veganism.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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 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".