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Record W1973183361 · doi:10.4000/echogeo.13368

Wines without Latitude: Global and local forces and the geography of the Thai wine industry

2013· article· en· W1973183361 on OpenAlexaff
Glenn Banks, Ratchaphong Klinsrisuk, Sittipong Dilokwanich, Polly Stupples

Bibliographic record

VenueEchoGéo · 2013
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsInstitut du Nouveau Monde
Fundersnot available
KeywordsHumanitiesPolitical scienceRepartitionGeographyPhilosophy

Abstract

fetched live from OpenAlex

Sur le plan historique, la production de raisin de cuve était limitée aux latitudes tempérées, en grande partie entre 30 et 50 degrés au-dessus et au-dessous de l'Equateur. Cependant, on assiste depuis peu à sa fabrication dans les pays des régions tropicales. Cet article analyse le développement et les caractéristiques de l'industrie vinicole thaïe, la plus importante des pays de l’Asie du Sud-Est. En le rattachant aux débats sur la mondialisation économique et culturelle, il étudie les motivations et les origines des producteurs thaïs, les contraintes environnementales, les adaptations locales ainsi que les contraintes réglementaires et culturelles au développement de cette industrie, ses liens mondiaux et ses perspectives. Notre argument est qu’en dépit de sa de petite taille, l'industrie vinicole thaïe intègre nettement nombre des complexités de la mondialisation, démontrant ainsi la fusion des tendances culturelles mondiales, la croissance économique nationaliste, la nature de plus en plus globale des acteurs de l’industrie vinicole ainsi que les contraintes permanentes exercées par le processus de mondialisation sur l’ensemble de ces régimes politiques internes et réglementaires.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.257

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.201
Teacher spread0.194 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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