Bibliographic record
Abstract
The following description is provided by the publisher: NON-FICTION CONTEST ISSUE (judged by Timothy Taylor) GRAND PRIZE “Reunion” by Re’Lynn Hansen FIRST RUNNER-UP “Almost-Home” by Julia Zarankin SECOND RUNNER-UP “Notes on Breath” by Jenny Boychuk FICTION “Gelignite” by Harold Macy “Transactions” by Madeline Sonik “Fingernecklace” by Lori McNulty “When the Killer Whale brought Evil to the Town of Paradise” by Drew Nelles “Letter from Iceland” by Bryan Castille POETRY “White Lillies” and “Virtuoso” by Rachel Rose “A Walk in the Park” by Miranda Pearson “Inheritance” and “Rafael’s Question” by Carla Drysdale “Metamorphosis” by Alisha Dukelow “Fractals” by Geoffrey Nilson “Flash” by Paddy Chitty “Surface Tension” by Sandra Lloyd “In the Language of the Mountain,” Rainmaker,” and “Hell” by Michael Johnson “Hell” by Mark Lavorato “British Mountains, Yukon River watershed 1851” and “Ghazal of the Caribou Fence” by Richard Kelly Kemick “Archaeopteryx” by Steven Slowka “Prayer for Solace,” “Prayer for Renewal,” and “Letter, 10:28 p.m.” by Michael V. Smith “Sharpening Skates” (an excerpt) by Elee Kraljii Gardiner TRANSLATION “Corona” by Paul Celan, translation by Iain Higgins COVER IMAGE Anima by Meryl McMaster
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.796 | 0.693 |
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".