An Aboriginal Perspective on the Remediation of Mid-Canada Radar Line Sites in the Subarctic: A Partnership Evaluation
Bibliographic record
Abstract
The Mid-Canada Radar Line (MCRL) was built during the 1950s in response to the perceived threat of a Soviet nuclear attack over the Arctic. The MCRL was an entirely Canadian project, consisting of 98 radar stations that stretched across the 55th parallel from Dawson Creek, British Columbia, to Hopedale, Labrador. Seventeen MCRL sites were located in Ontario, and by 1965, all had been closed for strategic and economic reasons. Since these sites were improperly decommissioned, they have become point sources of contaminants in northern Canada. In 2001, MCRL Site 050 was remediated. The Fort Albany First Nation (located near Site 050), the Department of National Defence, and the Ontario Ministry of Natural Resources had formed a “partnership” to undertake this. We determined that from an Aboriginal perspective, a true partnership (as we define it) did exist between these organizations; a partnership based on the essential elements of respect, equity, and empowerment. We show that these cornerstones of a true partnership were present in the initial documents that discussed remediation of this site. This evaluation will provide insight, guidance, and a potential framework to benefit future partnership endeavours, helping to foster stronger collaborative relationships between Aboriginal organizations and governments at all levels, especially with respect to the remediation of abandoned radar line sites.
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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 | 0.020 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".