Bibliographic record
Abstract
race Morgan has written an ecological lament for a lost way of life in an environment that no longer exists: the prairies of western Canada prior to contact.The relationships that she illuminates among humans, beaver, bison, and later horses are key to understanding the ancient ecology of the Northern Great Plains.They also shed light on our current and precarious occupation of the prairies in this age of climate uncertainty.Today our political leaders debate the true impacts of climate change as we continue headlong with industrial farming using genetic modification and other scientific methods to buffer the impacts of drought and other climatic anomalies in the 21st century.This book points to both what was and what might have been, to sustainable land management practices that kept Indigenous communities protected for thousands of years from climatic variability.This is the story of traditional environmental knowledge at its most elegant.As with so much Indigenous knowledge and so many ancient practices, the balance among species was forever lost as the modern world economic system took the North American Plains into its grasp.In a real sense, this is the story of an extinct ecology that can never be remade.The disappearance of the bison, the defining species of western North America, is widely recognized as the greatest environmental catastrophe to befall the continent.Almost a century
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.569 | 0.435 |
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".