Bibliographic record
Abstract
Take a trip through Alberta with some of Canada's finest established and emerging poets as your guides. Writing the Terrain: Travelling Through Alberta with the Poets is the first anthology dedicated solely to the poetry of the Alberta landscape and cityscape, by authors who have travelled the main roads, back roads, and gravel roads of this vast province. This collection offers a series of poetic journeys through Calgary and Edmonton, through the foothills, the badlands, the Rockies, the central parklands, and the northern boreal forests. Following in the Canadian literary tradition of "preoccupation with place" these are poems that demonstrate a response to the landscape and ponder its effect on the body, mind, and spirit. With Contributions By: Ian Adam Tammy Armstrong Margaret Avison Douglas Barbour John O. Barton Doug Beardsley BonnieBishop E.D. Blodgett Robert Boates George Bowering Tim Bowling Jan Boydol Gordon Burles Murdoch Burnett Anne Campbell Weyman Chan Leonard Cohen Dennis Cooley Joan Crate Michael Cullen Cyril Dabydeen Lorne Daniel Alexa DeWiel Jason Dewinetz Ryan Fitzpatrick Cecelia Frey Gary Geddes Gail Ghai Deborah Godin Jim Green Leslie Greentree Vivian Hansen Tom Henihan Michael Henry Walter Hildebrandt Gerald Hill Robert Hilles Nancy Holmes Richard Hornsey Tom Howe Bruce Hunter Aislinn Hunter Laurence Hutchman Sally Ito Pauline Johnson Aleksei Kazuk Robert Kroetsch Fiona Lam William Latta Tim Lilburn Alice Major Kim Maltman Miriam Mandel Sid Marty David McFadden Barry McKinnon Erin Michie Deborah Miller Anna Mioduchowska James M. Moir Colin Morton Erin Moure Charles Noble P.K. Page Rajinderpal Pal Ruth Roach Pierson Joseph Pivato Roberta Rees D.C. Reid Monty Reid r. rickey Ken Rivard Stephen Scobie Allan Serafino Joan Shillington Greg Simison Carol Ann Sokoloff Karen Solie Robert Stamp Stephan Stephansson Peter Stevens Ivan Sundal Anne Swannell Vanna Tessier Colleen Thibadeau John O. Thompson James M. Thurgood Eva Tihanyi Yvonne Trainer Aritha van Herk Rosalee van Stelten Miriam Waddington Wilfred Watson James Wreford Watson Tom Wayman Phyllis Webb Jon Whyte Christine Wiesenthal Sheri-D Wilson Christopher Wiseman Stacie Wolfer Rita Wong Richard Woollatt Jan Zwicky
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.082 | 0.032 |
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".