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Record W2267472112 · doi:10.1080/15528014.2016.1144995

Introduction: Looking at Food Practices and Taste across the Class Divide

2016· article· en· W2267472112 on OpenAlexaboutno aff
Jennifer Smith Maguire

Bibliographic record

VenueFood Culture & Society · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicOrganic Food and Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsDisadvantagedTasteSociologyMiddle classCultural capitalSocial classEthnic groupSocial mobilityPolitical scienceEconomic growthSocial sciencePsychologyEconomics

Abstract

fetched live from OpenAlex

This editorial introduces a Special Issue on food practices and social inequality by outlining a dichotomous tendency in policy-related, academic and populist accounts of the relationship between food and class. The Special Issue aims to move our understanding beyond this dichotomous divide, which privileges either middle-class discerning taste or working-class necessity in understandings of the determinants of food practices. The papers call attention to the diverse, complex forms of critical creativity and cultural capital employed by individuals, families and communities across the spectrum of social stratification, in their attempts to acquire and prepare food that is both healthy and desirable. The papers report on research carried out in the United States, Canada, Mexico and Denmark, and cover diverse contexts, from the intense insecurity of food deserts to the relative security of social democratic states. Through quantitative and qualitative cross-class comparisons, and ethnographic accounts of low-income experiences and practices, the papers examine the ways in which food practices and preferences are inflected by social class (alone, and in combination with gender, ethnicity and urban/rural location). Thus, the Special Issue offers a debunking of the figure of the uncritical, uncultured low-income consumer. Calling for the development of a more nuanced, dynamic account of the tastes and cultural competences of socially disadvantaged groups, the editorial concludes by underlining the simultaneous need for structural critiques of the gross inequalities in the degrees of freedom with which different individuals and groups engage in food practices.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.875

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 studies0.0010.000
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 head0.014
GPT teacher head0.220
Teacher spread0.207 · 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 designNot applicable
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

Citations32
Published2016
Admission routes1
Has abstractyes

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