Masculinity, Meat, and Veg*nism: A Scoping Review
Bibliographic record
Abstract
Men historically consume more meat than women, show fewer intentions to reduce meat consumption, and are underrepresented among vegans and vegetarians. Eating meat strongly aligns with normative masculinities, decisively affirming that “real men” eat meat and subordinating men who choose to be veg* n (vegan or vegetarian). The emergence of meat alternatives and increasing environmental concerns may contest these long-standing masculine norms and hierarchies. The current scoping review addresses the research question what are the connections between masculinities and men’s attitudes and behaviors toward meat consumption and veg*nism? Using keywords derived from two key concepts, “men” and “meat,” 39 articles were selected and analyzed to inductively derive three thematic findings; (a) Meat as Masculine, (b) Veg*n Men as Othered, and (c) Veg*nism as Contemporary Masculinity. Meat as Masculine included how men’s gendered identities, defenses, and physicalities were entwined with meat consumption. Veg*n Men as Othered explored the social and cultural challenges faced by men who adopt meatless diets, including perceptions of emasculation. Veg*nism as Contemporary Masculinity was claimed by men who eschewed meat in their diets and advocated for veg*nism as legitimate masculine capital through linkages to physical strength, rationality, self-determination, courage, and discipline. In light of the growing concern about the ecological impact of meat production and the adverse health outcomes associated with its excessive consumption, this review summarizes empirical connections between masculinities and the consumption of meat to consider directions for future men’s health promotion research, policy, and practice.
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.
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) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".