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Record W2018403943 · doi:10.7202/015327ar

Cuisiner les livres. Identités globales ou locales dans les cultures alimentaires ?

2003· article· fr· W2018403943 on OpenAlexvenueno aff
Allison James

Bibliographic record

VenueAnthropologie et Sociétés · 2003
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cuisiner les livres Identités globales ou locales dans les cultures alimentaires ? Cet article s'intéresse au lien entre la nourriture et l'identité culturelle en examinant certains changements qui se sont produits dans les modèles de consommation alimentaire de la société britannique depuis les années 1950. La globalisation croissante des aliments, au moyen de l'importation d'aliments exotiques étrangers et de l'expansion des franchises de restauration rapide (fast-food) comme celles de McDonald's, pourrait signifier que la nourriture a perdu son potentiel de marqueur symbolique d'identité. Cet article se demande toutefois si le métissage est nécessairement l'aboutissement des tendances actuelles. À partir d'une analyse de livres de cuisine et de textes grand public sur la nourriture dans la Grande-Bretagne contemporaine, l'auteure expose les différentes significations de la nourriture tant exotique que " domestique " et, en conclusion, se demande si les développements récents dans ce domaine traduisent un abandon des identités nationale, régionale ou de classe (qui se reflétaient traditionnellement dans et par le domaine alimentaire) ou, inversement, leur réarticulation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0400.000

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 head0.163
GPT teacher head0.488
Teacher spread0.325 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2003
Admission routes1
Has abstractyes

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