Indigenous Economic Development: A Tale of Two Wineries
Bibliographic record
Abstract
In this paper, we explore the economic development activities of Indigenous people in the 'new global economy'. This exploration is conducted in four parts. The first provides an overview of Indigenous economic development-the objectives and the process. The second part is a theoretical exploration of the Indigenous approach to development described in the first section in an attempt to assess its feasibility. The third section consists of two case studies of Indigenous development, one about a group of Maori in New Zealand and the other about a group of Aboriginal people in Canada. In each case, the people of the communities involved developed wine-related businesses as a key aspect of their economic development strategy. Indeed, they created the world's first and second Indigenous-owned wineries, the Tohu Winery in New Zealand and Nk'Mip Cellars in Canada. The cases studies briefly document the creation of these wineries and then describe contribution that these businesses have made to the economic development of the communities involved. In the fourth section, we offer concluding comments about Indigenous economic development activities as brought to life by the case studies.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".