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Record W2256496271

Testing the Implications of an Integrated Rural Tourism Framework for the Niagara Wine Region

2014· dissertation· en· W2256496271 on OpenAlex
Mark Robert Holmes

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYorkSpace (York University) · 2014
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsnot available
Fundersnot available
KeywordsTourismRural tourismPeninsulaGeographySustainabilityEmbeddednessRural areaEconomic growthEmpowermentRegional scienceBusinessMarketingTourism geographyEconomicsPolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

Tourism, in general, can contribute to and integrate with rural economies for rural development through industry associations and community participation (Saxena et al., 2007), as well as act as a storehouse for “natural and historical heritage” (Lane, 1994, p. 103). As realization that tourism can benefit local areas increases, so too has the discussion around tourism as a tool for rural areas. In 2007, building on the concept of Integrated Rural Development (IRD), Saxena et al. first discussed the concept of Integrated Rural Tourism (IRT). IRT was suggested as an approach to understanding the complexities of rural tourism through an examination of seven components (networking, scale, endogeneity, sustainability, embeddedness, complementarity, and empowerment), and as a means for exploring the ability of tourism to produce benefits for the rural area. 
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\nIn the past, IRT has been used to examine how tourism has aided rural development in Europe and the US; however, its use in Canada, and more specifically the Niagara Peninsula, has yet to be realized. Using the Niagara Peninsula Appellation (NPA), the largest wine region in Ontario and Canada, as the case study, this project involved interviewing 17 wineries and five industry associations, in an attempt to answer two specific questions: (1) how does the wine industry and wine tourism aid in the development of Niagara’s rural area using the IRT concept, and (2) how can IRT aid in rural development through direct, experiential, conservation, development, and synergistic benefits.
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\nWhile there is still work to be done to improve upon tourism’s positive impacts in Niagara and its peripheral rural areas more generally, this dissertation has found that wine tourism has produced direct, experiential, conservational, and synergistic benefits for the Niagara Region. While there were also some developmental benefits, there is greater need for community engagement and improved industry synergy.
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\nFurthermore, this dissertation has found that the concept of IRT provides a reasonable framework through which to analyze the ability of wine tourism to benefit rural areas, although the addition of a focus on the marketing efforts and future goals of the area are needed.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.851

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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