The Wild Rose Anthology of Alberta Prose
Bibliographic record
Abstract
The first multi-genre historical anthology of Alberta writing since 1979, The Wild Rose Anthology of Alberta Prose collects twentieth-century short fiction, excerpts from novels, and non-fiction. This anthology explores what writers-past and present-can tell us about what it means to be Albertan-and Canadian. Each piece is preceded by an introduction with a literary biography and critical discussion of the selection that situates the piece within the author's overall repertoire. With contributions by: George Bugnet Hugh Dempsey Cheryl Foggo Hiromi Goto Katherine Govier Monica Hopkins Thomas King W.P. Kinsella Illia Kiriak Joy Kogawa Myrna Kostash Henry Kreisel Robert Kroetsch Sid Marty W.O. Mitchell Howard O'Hagan Andy Russell George Ryga Mary Schaffer Sam Selvon Fred Stenson Christine van der Mark Aritha van Herk Emma Lee Warrior Shelia Watson Thomas Wharton Rudy Wiebe Kerry Wood Ninoxkyaio
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.003 |
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".