Implementing the 1993 Nunavut Land Claims Agreement
Bibliographic record
Abstract
Following more than 20 years of research and negotiation, the Nunavut Land Claims Agreement (NLCA) was ratified by Inuit and the Government of Canada in 1993. The territory of Nunavut and the Government of Nunavut were established in 1999 pursuant to the Agreement. In exchange for a wide range of constitutionally protected rights and benefits, the Inuit of Nunavut ceded to the Crown «all their aboriginal claims, rights, titles and interests … to lands and waters anywhere within Canada …» While much has been accomplished through the Agreement, huge implementation challenges remain. Successful implementation of the Agreement requires a firm and enduring partnership between the Inuit of Nunavut and the governments of Canada and Nunavut. To ensure that this partnership is effective and to safeguard the «honour of the Crown,» the Government of Canada should adopt policies and inter-agency and inter-governmental processes to ensure the Agreement is fully implemented.
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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 | 0.027 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".