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Record W3111001674 · doi:10.1111/gwao.12599

Expanding the joys of cooking: How class shapes the emotional experience of family foodwork

2020· article· en· W3111001674 on OpenAlexfundno aff
Merin Oleschuk

Bibliographic record

VenueGender Work and Organization · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPleasurePain and pleasureOppressionPsychologyOpposition (politics)Social psychologyGender studiesEmpowermentInequalityShameAestheticsSociologyPolitical scienceArtPolitics

Abstract

fetched live from OpenAlex

Abstract The emotional experience of foodwork is often considered along a continuum, where pleasure exists in opposition to labor, and where inequalities restrict pleasure. Analyzing qualitative interviews, recall conversations and cooking observations with 34 primary cooks in families, this article explores how diverse parents experience pleasure through family foodwork. Doing so reveals five conditions facilitating pleasure: time, choice, aesthetic freedom, connection, and appreciation . It then analyzes how access to these conditions is shaped by class inequalities, while being attentive to intersections with gender and race/ethnicity. This analysis reveals how socio‐economic inequalities fashion negative emotional relationships to foodwork by imposing disproportionate stressors on low‐income home cooks, but do not necessarily predict cooking pleasure. Through examining intersections between the sensory and material aspects of foodwork, this article furthers theoretical understanding into how foodwork reinforces gendered, racialized, and classed oppression, while simultaneously identifying how agency and empowerment operate through cooking pleasure for low‐income groups.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.044
GPT teacher head0.217
Teacher spread0.173 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2020
Admission routes1
Has abstractyes

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