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Record W2794327286 · doi:10.15353/cfs-rcea.v5i1.233

Faux-meat and masculinity: The gendering of food on three vegan blogs

2018· article· en· W2794327286 on OpenAlex
Dana Hart

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Food Studies / La Revue canadienne des études sur l alimentation · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsYukon Health and Social Services
FundersMcMaster University
KeywordsMasculinityGender studiesSociologyPerformativityFood studiesAnthropology

Abstract

fetched live from OpenAlex

This study explores the relationship between gender and veganism through a critical analysis of food-based discourse on three vegan blogs. As many researchers note, there is a strong association between meat and masculinity in North American society (Nath, 2011; Rothgerber, 2013; Rozin, Hormes, Faith & Wansink, 2012; Ruby & Heine, 2011; Sumpter, 2015). While some researchers argue that the practice of veganism inherently challenges traditional gender norms (Adams, 2015; Potts and Parry, 2010), in these blog posts there is little room for alternative gender performativity. Drawing upon critical feminist and vegan studies literature, and previous discourse analysis of food blogs, this research examines the intersections of gender and food through the practice of veganism. Furthermore, it analyses how the association between meat and masculinity is applied in the gendering of vegan food. I argue that the gendered discourse of vegan food on these blogs reinforces, rather than challenges, traditional gender norms through the use of tropes describing “carnivorous men” and “manly meals” with hopes of satiating male appetites.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.086
GPT teacher head0.303
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it