To endure and become humble : myth and reality of the climate of the prairies
Bibliographic record
Abstract
Historians and geographers have focused on the study of the images of the West.Their studies have demonstrated that the images of the West were as important as reality itself in understanding the history of western Canada and the western Canadian identity.Both the region's history and identity have been influenced by the images of the West.Another way to look at the history and identity of the West is through climate.This thesis examines the images of the climate of western Canada in order to obtain new insight into western Canadian history and western Canadian identity.This new attempt is considered from three perspectives.First, the way in which Canadian expansionists advertised the West is described.In the latter half of the nineteenth century and the first decade of the twentieth century, Canada needed to dispel negative images of the western climate in order to attract millions of homesteaders.The climate portrayed in immigration pamphlets was all positive.Secondly, the actual experience of pioneer homesteaders is investigated by examining pioneer questionnaires, recorded interviews, and diaries.Settlers encountered the harsh reality of the climate.The real perception of the climate was very different from the idealized climate.Finally, literature and arts of the 1920s and 1930s demonstrate how the climate of western Canada was viewed at that time.The expansionists' views were still influential even after the settlement boom.The actual perception was minimized by the ideal climate myth. Chapter Two Actual Experience p. 32 Chapter ThreeLife Experience p. 56 Conclusion p. 78
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.038 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".