So vast and various: interpreting Canada's regions in the nineteenth and twentieth centuries
Bibliographic record
Abstract
John Warkentin looks at the work of geographers from 1831 to 1977 through the regional descriptions of seven perceptive observers of Canada who provide very different but illuminating interpretations: Joseph Bouchette, a surveyor-general from Lower Canada; George Parkin, an educator and journalist from New Brunswick; J.D. Rogers, a British barrister and scholar; Harold Innis, the great economic historian; R.C. Wallace, a geologist with administrative experience in the North; Bruce Hutchison, a brilliant BC journalist with deep regional insights; and Thomas Berger, who presided over a Royal Commission on northern development in the 1970s. Warkentin's introduction reveals how their descriptions and interpretations of Canada's areas helped provide the perceptions that influence contemporary conceptions of the country - both its regions and as a whole.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".