When You’re Not from the Prairie: Place History in the Forest Fringe of Saskatchewan
Bibliographic record
Abstract
Dividing Canada into regions—for analysis and comparison, and to develop broad categories of inclusion—is a common tool used by Canadian historians. Regional definitions can become stagnant and isolationist, however, restricting broader inter- and intra-regional analysis. Regionalism can overemphasize the contrasts and ignore the connections between regions. This essay presents a case study of the community of Paddockwood, Saskatchewan. The Paddockwood area straddles the transition zone between the prairie south and the boreal north. Using place history and the environmental concepts of cultural edge and ecological edge, this essay argues that Paddockwood developed a hybrid identity that combines aspects of both prairie and forest. The essay also augments analysis on rural and agricultural life, suggesting that the concept of mixed farming, as practised during Paddockwood’s early development, was more than a simple mix of grain and livestock. It was a way of life built on occupational pluralism, tied to an informal rural economy, that relied on both on-farm and off-farm use of the local landscape.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".