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Record W1512779407

The role of wine tourism in economic development: A case study of Niagara Region (Ontario)

2000· book· en· W1512779407 on OpenAlexaboutno aff
Gillian Mary Northwood

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2000
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsWineTourismGeographyEnvironmental planningRegional scienceEconomic geographyBusinessArchaeologyArtVisual arts
DOInot available

Abstract

fetched live from OpenAlex

Wine tourism is an expanding form of rural tourism which has recently become popular in several wine regions of the world One such area, the Niagara Region in southern Ontario, Canada, is used as a case study for this research. This study examines the role that wine tourism plays in sustainable rural tourism, and determines if wine tourism can be used as a tool for economic development. By completing a survey of winery visitors in the Niagara Region, as well as performing interviews with winery personnel, it was found that wine tourism plays several roles in rural tourism and can be used as a tool for economic development. Tourism provides many benefits to wineries such as an increase in revenue and increased exposure to products. In tum, wineries provide advantages to rural tourism such as an attractive scenic backdrop. Wine tourism contributes to the economy in many ways such as it provides jobs, revenue and an increase in investment throughout a region. As long as wine tourism is managed with regard for the environment and the local people, it will be sustainable in the future, and will continue to provide benefits to the surrounding area.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.014
GPT teacher head0.186
Teacher spread0.173 · 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

Citations2
Published2000
Admission routes1
Has abstractyes

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