Report from the Rosenberg International Forum: The Mackenzie Basin
Bibliographic record
Abstract
The Rosenberg International Forum on Water Policy released this report based on the findings of a 2012 workshop on transboundary relations in the Mackenzie River Basin. The workshop, which took place in Vancouver from Sept. 5 to 7, 2012, convened several experts in the fields of law, economics and various scientific disciplines with the goal of looking at the legal and scientific principles relevant to creating a co-ordinated basin-wide approach to management. The workshop was co-hosted by The Gordon Foundation and Simon Fraser University’s Adaptation to Climate Change Team. The Mackenzie River Basin is Canada’s largest drainage basin at 1.8 million sq. km – 20 per cent of Canada’s landmass – and is among the most intact large-scale ecosystems in North America. While the Basin is relatively undisturbed ecologically, it is at risk from both a warming climate and extractive and hydrological industries. These large forces of change threaten the Basin’s ecology, as well as its role as a homeland to aboriginals and northerners who rely on the land and its resources to provide food, clothing, water and other necessities of life. [From Rosenberg International Forum: The Mackenzie Basin - The Gordon Foundation]
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".