Nature's Past Episode 024: Draining the Wet Prairie
Bibliographic record
Abstract
Agricultural expansion is a central component of the history of the resettlement of the Canadian prairies in the nineteenth-century. Popularly, that history has been characterized by the challenges of aridity on a dry prairie landscape. The characterization of the prairies as a dry place, however, is really only accurate for the highlands of south-western Manitoba to the foothills of southern Alberta. It does not accurately represent Manitoba’s southern lowlands. \n \nThis is the subject of a new book by environmental historian, Shannon Stunden Bower. Wet Prairie: People, Land, and Water in Agricultural Manitoba explores the history of this southern lowland region of Canada’s first prairie province. Combining methodologies in both environmental history and historical geography, Wet Prairie, takes readers through the complex past of the relationship between people and surface water in a region that is especially prone to flooding. \n \nThis month, we speak with Dr. Shannon Stunden Bower, a Social Sciences and Humanities Research Council of Canada Postdoctoral Research Fellow from the Department of History and Classics at the University of Alberta.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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; 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".