Wet prairie : an environmental history of wetlands, flooding and drainage in agricultural Manitoba, 1810-1980
Bibliographic record
Abstract
Southern Manitoba’s wet prairie region is marked by persistent problems with surface water management. Through a historical geographical approach to wetlands, flooding, and drainage from the early 19th to the late 20th century, this dissertation offers an environmental history of a dynamic landscape, emphasizing the complex two-way relations between changes in human communities and environmental conditions. European newcomers mimicked Aboriginal populations in making use of wetland resources, and the development of property relations attuned to the local environment helped define the Red River settlement, established at the forks of the Red and Assiniboine Rivers in 1812. The creation of the Province of Manitoba in 1870 prompted new disputes over land rights, and perceived racial distinctions were consolidated by differences in how Aboriginal and non-Aboriginal claims were adjudicated. Farming expanded in late 19th century Manitoba. Many farmers failed to account for environmental variability and found their progress hampered by wet areas or periodic flooding. Early government drains were inadequate, and failed ditching efforts compounded settler frustration. The Land Drainage Act of 1895 expanded reclamation, but settler expectations remained unmet. The environmental consequences of intensive agriculture compounded the problem. Provincial inquiries in the first half of the 20th century revealed the patterns of contention that, along with the ditches themselves, defined the drained landscape. Flood problems at the international border, the continental significance of waterfowl habitat, and the catastrophic 1950 flood along the Red River were catalysts of change, and led to involvement by American interests and the Canadian federal government. Still, contention continued. Ultimately, it was new concern over surface water erosion--a problem in many ways specific to the local topography of southern Manitoba--that proved most important to the reconceptualization of the drained landscape. This dissertation examines efforts to reconcile progress, property and the Manitoba landscape, often through the exercise of government authority. It engages the notions of bioregion and nation, highlighting the importance of culture in the interconnected processes of human and environmental change. Finally, it emphasizes the importance of cultivating the capacity for adaptation to dynamic environments.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".