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Wine Routes in Quebec: Between Marketing and Development of Networks

2016· article· en· W2515379666 on OpenAlexaboutno aff
Tarek Ben Hassen, Diane‐Gabrielle Tremblay

Bibliographic record

VenueGastronomy and Tourism · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsWineBusinessMarketingDistribution (mathematics)MonopolyGeographyEconomicsMarket economyFood science

Abstract

fetched live from OpenAlex

Wine routes are increasing in different wine regions of the Old World and the New World. In Quebec, the wine sector is young, but there is a great development of wine routes. This is mainly explained by the nature of the distribution of wine in Quebec, where the sale of alcoholic beverages is controlled by a state monopoly: the SAQ. Faced with the difficulties of entry into the SAQ, on-site sales are the main outlet for the Quebec wine makers, especially for smaller wineries. This environment is conducive to the development of wine routes. Wine routes in Quebec are important for the marketing of wine. At the same time, they participate in the construction of wine territories, acting as regional networks and regional development engines. Thus, the main hypothesis of this article postulates that the wine route is a mechanism that can lead to the creation of wine-growing areas, creating relationships between winemakers or strengthening existing relationships. The wine route helps stakeholders to transform geographic proximity into relational proximity. The objective of this article is first to present the characteristics of wine routes in Quebec and then to analyze their roles in the establishment of regional networks and the development of territories.

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 score0.250
Threshold uncertainty score0.392

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 head0.011
GPT teacher head0.194
Teacher spread0.183 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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