Community Economic Development With Neechi Foods: Impact on Aboriginal Fishers in Northern Manitoba, Canada
Bibliographic record
Abstract
Neechi Foods Co-op located in the north end of Winnipeg, Canada is an ideal example of an Aboriginal community economic development initiative. This grocery store has been operating for over 21 years and is an associate member of the Federated Co-operatives Ltd. Neechi Foods is committed to providing quality products and services to ensure a high degree of customer satisfaction and retention, building a strong cooperative, and promoting community economic development and opportunities for Aboriginal peoples. Neechi Foods Co-op sells freshly prepared bannock, wild rice, wild blueberries, freshwater fish, and other Indigenous specialty foods, home-made deli products, conventional grocery items and Aboriginal crafts, books and music. The co-op has been commercially self-reliant and profitable despite severe economic crises in its surrounding neighbourhood. In 2009-2010 financial year, annual sales of Neechi Foods Co-op reached over $600,000. Neechi Foods Co-op is expanding its business and building the Neechi Commons Co-operative business complex which will start operation in 2012.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".