Overview of Aboriginal communities and economic partner agreements in northern Canada
Bibliographic record
Abstract
Natural resources are a cornerstone of Canada's economy. Today, natural resources industries support more than 650 communities and accounts for 12% of Canada's Gross Domestic Product (Industry Canada). The Canadian diamond industry in 2004 accounted for 4% of the total expenditures on mining and processing and is poised for significant growth and contribution to the economy of Canada. This emerging industry has created a unique opportunity for Canada's northern Aboriginal people. In negotiation with the diamond companies the Aboriginal 1 communities have provided their consent for the diamond mines and have ensured their participation in all diamond projects within their traditional territories. Five Aboriginal communities have signed partnership agreements with Diavik Diamond Mines Inc. providing joint control of training, employment and business opportunities. This paper will discuss the commitments, and the progress, made by Diavik in the participation agreements with the First Nation and Aboriginal signatories.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".