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Record W2136806189 · doi:10.1177/0891243210383419

Caring About Food

2010· article· en· W2136806189 on OpenAlex

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.

Bibliographic record

VenueGender & Society · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPrivilege (computing)Gender studiesSociologyDoing genderGender equalityFood cultureGender inequalityPassionWarrantInequalityPolitical scienceSocial psychologyPsychology

Abstract

fetched live from OpenAlex

This article draws on interviews with “foodies”—people with a passion for eating and learning about food—to explore questions of gender and foodie culture. The analysis suggests that while this culture is by no means gender-neutral, foodies are enacting gender in ways that warrant closer inspection. This article puts forward new empirical findings about gender and food and employs the concept of “doing gender” to explore how masculinities and femininities are negotiated in foodie culture. Our focus on doing gender generates two insights into gender and food work. First, we find that doing gender has different implications for men and women within foodie culture. Alongside evidence that foodies are contesting particular gendered relations within the food world, we explore how broader gender inequities persist. Second, we contend that opportunities for doing gender in foodie culture cannot be considered apart from class privilege.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.221
Teacher spread0.190 · 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