Birdlife of the Churchill Region: Status, History, Biology, by Joseph R. Jehl, Jr.
Bibliographic record
Abstract
REVIEWS • 91new Russian laws on the protection of natural areas (Pavel Shul'gin, Chapter 6).In summary, this work is providing an invaluable service to both scholars and policy makers as it seeks to break down the barriers dividing policy and research from community interests by presenting what has been done and is being done across the North.All can learn from the experience of others trying to develop policy on the management (or better yet, the co-management with local communities) of ethnographic and cultural landscapes.The book highlights the importance of not only protecting the space itself, but also safeguarding the human knowledge associated with a place.An ethnographic landscape is a priori a place where the cultural and the ecological come together.It is necessary to record the human tradition that is associated with the landscape, to teach and present this tradition faithfully, and to ensure that the landscape remains a culturally meaningful space.As the editors of the volume note in the introduction (p.9): "in practical managerial terms it is, therefore, as important to preserve and support the knowledge about the land (through documentation, education, and other heritage efforts) as it is to establish a vigorous protective regime for the land itself."This approach also requires a change in the colonial mindset and the recognition that there was no true "wilderness" in the North: with the exception of glaciers and mountain tops, all the territory was inhabited, modified, and integrated into the traditional knowledge of its indigenous inhabitants.As the editors state (p.9): "the extinction of cultural knowledge associated with a certain landscape returns it to the status of wilderness or makes it an empty land with barely seen remnants of former occupation."
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".