Shaping a World Already Made : Landscape and Poetry of the Canadian Prairies
Bibliographic record
Abstract
Carl Tracie, geographer, has done what no other researcher of any ilk has even attempted. No one has ever written a book on Canadian prairie poetry, not until now that is. We have books on Canadian poetry, and we have books on the Canadian prairie, but none on the poetry from the prairie. Even essays on the poetry are scarce. That alone would make Shaping a World Already Made a signal event. Dennis Cooley Tracie carefully elucidates how poetry gives us a fuller perspective of the region. In these essays, we are given the essence of many poets' deeply felt conceptions of the prairie landscape transformed imaginatively into words. Many will be grateful to have this sensitive and insightful study of how some of Canada's most perceptive poets have reflected on the prairies--a landscape, in Tracie's words, that is still shaping. John Warkentin
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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 | 0.000 | 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 | 0.003 |
| 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".