Indigenous Entrepreneurship In The Wine Industry: A Comparative Study of Two Indigenous Approaches
Bibliographic record
Abstract
This case study compares two Indigenous approaches to entrepreneurship within the wine industry: Nk'Mip Cellars (a joint venture between the Osoyoos Indian Band and Vincor Canada) in British Columbia, Canada and Tohu Wines, in Marlborough, New Zealand. The aim was to identify whether differences exist in the approach to entrepreneurship between two different Indigenous groups competing in non-traditional businesses. The results should assist Indigenous populations in their understanding of Indigenous entrepreneurship as well as help guide their people towards greater economic development. Substantial differences between the two chosen Indigenous groups were found in their method of achieving collective entrepreneurship. This study has shown that both the Indigenous New Zealand community and the Indigenous Canadian community can be successful in competing entrepreneurially in something outside their traditional competencies. Furthermore, this study suggests that in order to be successful by competing entrepreneurially in business activities typically considered outside their traditional competencies, Indigenous groups looking to develop their communities economically might want to consider the level of social or psychological acculturation with their non-Indigenous neighbours.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".