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Record W1480850717 · doi:10.7202/1017906ar

Intersections translocales

2013· article· fr· W1480850717 on OpenAlexvenueno aff
Steffan Igor Ayora‐Diaz

Bibliographic record

VenueAnthropologie et Sociétés · 2013
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesEthnologyArtGeographySociology

Abstract

fetched live from OpenAlex

La gastronomie yucatèque a fait son apparition durant la seconde moitié du XXe siècle en tant qu’aboutissement de longs processus historiques se jouant aux niveaux local, global et translocal. Une forte opposition culturelle à la cuisine nationale mexicaine renforce la spécificité culturelle de cette gastronomie, et les ingrédients, les recettes et les techniques culinaires employés au Yucatán la relient à d’autres formes culinaires du monde caraïbe. Cet article soutient que l’apparition d’une gastronomie yucatèque distincte est née de l’inclination au cosmopolitisme d’une population locale désireuse de s’approprier et d’adapter les contributions culinaires des immigrants venus d’Europe, du Moyen-Orient, de l’Amérique du Nord et d’autres pays de la région caraïbe. Cette situation a stimulé les connexions latérales, mineures et translocales qui ont contribué à faire de l’alimentation yucatèque un métissage culturel qui a fait fusionner les pratiques et les ingrédients locaux, translocaux et globaux. J’avance que l’intégration du local au global reconfigure la part et l’importance de la cuisine yucatèque dans le marché régional, national et international des nourritures culturelles.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.376
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0100.003
Scholarly communication0.0070.005
Open science0.0020.008
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3760.109

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 head0.154
GPT teacher head0.468
Teacher spread0.314 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2013
Admission routes1
Has abstractyes

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