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Record W2767132214 · doi:10.7202/1041491ar

Médiations alimentaires et écologie de l’attention à l’Exposition universelle de Milan, 2015

2017· article· fr· W2767132214 on OpenAlexaffvenue
Van Troi Tran

Bibliographic record

VenueEthnologies · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Dans le cadre de l’exposition universelle de Milan de 2015 dont le thème était « Nourrir la planète, énergie pour la vie », plusieurs pays, organisations non gouvernementales et entreprises ont profité de l’occasion pour mettre en valeur leurs produits, leurs spécialités, leurs cultures gastronomiques et leurs initiatives en développement durable. Cet article explore comment le contexte de l’exposition universelle, en tant qu’événement international, affecte les modes de valorisation des patrimoines et des cultures alimentaires, dans une situation de concurrence pour l’attention d’un public massif. Ainsi, paradoxalement, autant les promoteurs du Slow Food devaient accélérer leurs services pour répondre aux besoins de la clientèle, les entreprises de « fast food » devaient, à l’occasion de l’Exposition, mettre de l’avant les atouts qualitatifs de leurs produits plutôt que l’efficacité. L’article examine donc plus généralement quels peuvent être les effets d’une mondialisation intensive sur les pratiques de médiation alimentaire pour un public submergé d’informations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.614
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.093
GPT teacher head0.370
Teacher spread0.277 · 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.

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

Citations1
Published2017
Admission routes2
Has abstractyes

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