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Record W4388561603 · doi:10.1079/tourism.2023.0039

From Struggle to Success: The Osoyoos Indian Band’s Journey into Agritourism and Economic Prosperity

2023· article· en· W4388561603 on OpenAlexaffabout
Zainub Ibrahim, Ahmed Jaffer, Fiona McCarthy-Kennedy

Bibliographic record

VenueTourism Cases · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicWine Industry and Tourism
Canadian institutionsAlgonquin College
Fundersnot available
KeywordsWineryProsperityTourismRevenueBusinessIndigenousSWOT analysisGeographyEconomyWineMarketingEconomic growthEconomics

Abstract

fetched live from OpenAlex

Summary In the province of British Columbia, Canada, the Osoyoos Indian Band (OIB) employs agritourism, specifically wine tourism, to serve their community economically and socially. Once on the verge of bankruptcy, they are now one of the wealthiest First Nations in the country, and their participation in the wine industry has played a critical role in this transformation. The OIB has been involved in the wine industry for over three decades. Beginning in 1968 with only 200 acres of vineyard, they currently own and operate one of the largest vineyards in the Okanagan Valley, and an award-winning winery Nk’Mip Cellars – the first Indigenous-owned and operated winery in the world. The winery was part of a broader development plan called the Nk’Mip Project. The project encompassed various planned developments, including the Nk’Mip Desert Cultural Centre which acts as a value-added attraction for those tourists visiting the winery and its vineyards. Economic self-sufficiency through economic development projects is the core belief of the OIB. Chief Louie says that their band has always had a business culture and they have continued to evolve. These developments have allowed the OIB to diversify its revenue streams, protect its lands, and promote its culture and history. Information © The Authors 2023

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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