Bibliographic record
Abstract
The following description is provided by the publisher: CONTENTS THE PACIFIC SPIRIT POETRY PRIZE JUDGE'S ESSAY Billy-Ray Belcourt 6 The Not-Yet and the What-Is-To-Come THE PACIFIC SPIRIT POETRY PRIZE GRAND WINNER Moira J. 7 CROSS-SECTIONS OF SEQUOIA SEMPERVIRENS & SHELLS, 2013 THE PACIFIC SPIRIT POETRY PRIZE RUNNERS-UP Tara McGowan-Ross 8 a simple instruction Samantha Nock 10 pahpowin RUIN Steven Heighton 13 Notes toward a new theory of tears Justin Ducharme 23 a boy with hands like mine Autumn Koe-Schnell 24 Learning to be Lost Carrie Snyder 25 Early Onset Elee Kraljii Gardiner 28 Exorcise Marie Baléo 29 Phantom Pain (RE)VOLT Brandi Bird 36 Selkirk, Manitoba Marissa Johnson-Valenzuela 37 Slovenly Wilderness Joshua Whitehead 47 ndn anality Kate Finegan 50 A Mosaic in the Making Cecilia Stuart 55 Spring break forever Natasha Ramoutar 56 Where We Keep the Bodies (RE)VERSE Emily Riddle 64 napew redux Christine Lai 66 Camera Obscura Tin Lorica 75 alt boy Tenille K Campbell 77 medicine songs Rebecca Hirsch Garcia 79 Common Animals Timiro Mohamed 84 Orchestra Özten Elaine Paul 87 October, 2018 Contributors 91
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.815 | 0.705 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".