Bibliographic record
Abstract
This volume features thirty-five of Don McKay’s best poems, which are selected with a contextualizing introduction by Méira Cook that probes wilderness and representation in McKay, and the canny, quirky, thoughtful, and sometimes comic self-consciousness the poems adumbrate. Included is McKay’s afterword written especially for this volume in which McKay reflects on his own writing process—its relationship to the earth and to metamorphosis. Don McKay has published eight books of poetry. He won the Governor General’s Award in 1991 (for Night Field ) and in 2000 (for Another Gravity ), a National Magazine Award (1991), and the Canadian Authors Association Award for Poetry in 1984 (for Birding, Or Desire ). Don McKay was shortlisted for the 2005 Griffin Poetry Prize for Camber and was the Canadian winner of the 2007 Griffin Poetry Prize for Strike/Slip . Born in Owen Sound, Ontario, McKay has been active as an editor, creative writing teacher, and university instructor, as well as a poet. He has taught at the University of Western Ontario, the University of New Brunswick, The Banff Centre, The Sage Hill Writing Experience, and the BC Festival of the Arts. He has served as editor and publisher of Brick Books since 1975 and from 1991 to 1996 as editor of The Fiddlehead . He resides in British Columbia.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.828 | 0.729 |
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".