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Record W1898232077 · doi:10.7202/1026527ar

La Route des Vins et l’émergence d’un tourisme viticole en Bourgogne dans l’entre-deux-guerres

2014· article· fr· W1898232077 on OpenAlexvenueno aff
Olivier Jacquet, Gilles Laferté

Bibliographic record

VenueCahiers de géographie du Québec · 2014
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

À la fin du XIXesiècle, les guides excluent totalement la gastronomie et la vigne des visites qu’ils proposent aux touristes de passage en Bourgogne. Seuls les sites naturels et les monuments historiques attirent l’attention des voyageurs. La gastronomie et le vin sont alors perçus et vendus comme des produits de luxe aristocratiques et internationaux – c’est-à-dire territorialement désincarnés. Le poids du négoce et sa liberté en termes de vinification (capacité d’assemblages de vins d’origines géographiques différentes) conditionnent amplement cette réalité. À la fin des années 1930, la transformation des normes de production et de commercialisation des vins en faveur d’un système d’appellations d’origine, combinée à la réinvention culturelle des folklores régionaux et aux volontés républicaines de valoriser les petites patries au sein de la grande patrie française, vont bouleverser les représentations régionales. En s’appropriant les concepts folkloristes républicains, les acteurs du marché des vins fins bourguignons vont ainsi réinventer l’univers de sens du produit. Ces initiatives aboutissent à la création d’une nouvelle réalité touristique pour la Bourgogne, désormais visitée pour ses vignes et ses vins, réalité qui se concrétise en 1937 par la création, en Bourgogne, de la toute première route touristique vitivinicole en France.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.340

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.005
GPT teacher head0.195
Teacher spread0.190 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2014
Admission routes1
Has abstractyes

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