The Beverly-Kaminuriak Caribou Management Board: An Experience in Co-management
Bibliographic record
Abstract
"The Beverly-Kaminuriak Caribou Management Board was established in 1982 by intergovernmental agreement, in response to a widely perceived crisis in the management of the Beverly and Kaminuriak barren-ground caribou herds, which range between the Northwest Territories, Manitoba, and Saskatchewan. The Board brings together four separate jurisdictions, as well as users and managers, for the purpose of coordinating the management of the two herds, and to promote conservation through education and communication. \n \n "Although the Caribou Management Board is simply an advisory body with no management powers, it is often cited as a positive and successful example of comanagement. Certainly it is one of the early examples in North America, and the first for major big game herds. \n \n "Has the Board really been such a success, and if so, what accounts for it? The short answer is yes, but within limits. This is partly a credit to the Board itself, and to its supporting agencies, and partly a matter of good fortune. This paper, based on a recent evaluation commissioned by the Board, outlines its strengths and weaknesses, and the prospects for the future."
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 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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| 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".