SACRED SUSTAINABILITY: THE SIGNIFICANCE OF ONTARIO’S FIRST NATIONS’WATER VALUES IN RELATION TO THE LAW OF THE GREAT LAKES & ST. LAWRENCE RIVER BASIN & THE CURRENT PROPERTY LAW PARADIGM
Bibliographic record
Abstract
With the human population set to reach seven billion people and society’s awareness of its effects and demands upon the environment, there exists a general consciousness that new thinking is required to “save” the earth’s resources. This is especially true with fresh water, a limited and highly sought after natural resource. In North American, the Great Lakes Basin contains 20% the world’s entire freshwater. Yet, before European colonisation of the Americas, the indigenous peoples of these lands lived with a set of environmental values which respected the land as a living thing. The sources of fresh waters were viewed as the lifeblood of the land. With the colonisation and displacement of indigenous views and values, British common law was implanted. It grew and evolved to meet the needs of what is today the country of Canada. A prime example of the law’s evolution is evident when looking at the way the law has dealt with water over time. Today, a tangled web of law exists. This thesis explores the issue of how First Nations in the province of Ontario are included in the Great Lakes Basin and St. Lawrence River water governance, and how property law and legal theory have shaped the current management structure.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.032 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".