Bibliographic record
Abstract
The following description is provided by the publisher: Fiction & Poetry Contest Issue Judge’s Essay by Fiction Contest Judge Zsuzsi Gartner Judge’s Essay by Poetry Contest Judge Rhea Tregebov FICTION Grand Prize Winner “Roadnotes” by Eliza Robertson Runners-up “The Dead Roads” by D.W. Wilson “The Fur Trader’s Daughter” by Seyward Goodhand POETRY Grand Prize winner “Owl on the roof” by Joelene Heathcote Runners-up “Leap” by Leslie Vryenhoek “The Big Siesta (or: The End of Modern Warfare)” by Patricia Young FICTION “The Slums of Kitsilano” by Eden Robinson POETRY “Fairway” / “This poem has been modified from its original version. It has been modified to fit this space.” by Antony DiNardo “Dixville Notch” / “Hoser” by Regan Taylor “Dissolve” by Nathan Baker “Fly Dying on the Bedroom Floor” by Kevin Bushell “Having Passed Down a Hall to a Room with Yellow Seats Labelled ‘Cebupacific,’ a TV Squawking, Under Hissing Lights” / “We Will Recognize Them!” by John Wall Barger “Bloodroot” / “Hiding the Erotic Inclination” / “Swim Trunks” / “The Sources of the Self” by Jan Conn “I Think I Dreamed of Wings” by Robert Gore “Euclidean” / “Castaway” by George Sipos “Linkage” / “Gatineau Pastoral for a Gent Who Waits Table in the Rockies” / “Cloud Puffs above a Ridge-top Barbeque Grill” by Peter Richardson
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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.796 | 0.688 |
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".