Corporate Agricultural Investment in First Nation Reserves in Canada: The Case of One Earth Farms
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.
Bibliographic record
Abstract
In 2009, One Earth Farms (OEF) established farming operations on First Nation reserves in Saskatchewan and Alberta, Canada. The partnership that was created with First Nations was seen by some as a new model for Canadian agriculture; one that reduced agribusiness risk while enhancing the economic and social welfare of First Nation communities. Notwithstanding the purported social and economic advantages, by 2014, OEF discontinued its contracts with its First Nation partners. The failings of OEF have since been attributed to a flawed foundation, built on a culture and people with a sense of entitlement. Yet this research has found that conflicting timelines, the misalignment of goals, and failure to deliver on what was most important to First Nations are most attributable to the failing of OEF. In this paper we present important lessons learned that if considered can result in more informed and sustained partnerships between First Nations and the private agricultural sector.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it