Bibliographic record
Abstract
The following description is provided by the publisher: FICTION “Two Truths and a Lie” by Michael Kardos “Lost Animal Club” by Kevin A. Couture “On the San Juan” by Ron Carlson POETRY “Guilt” / “Answering” / “Halloween” by Jared Harel “TIMBER: TIMBRE” / “TIMBRE: TIMBER” by Erin Robinsong “Structural Conceptions of Self in the Ice Cream Era” / “Lights” / “This Was Before We Knew” by Weston Cutter “Handwork Accompaniment” by Heather Cadsby “A Strange Time” by Jason Heroux three poems from Indexical Elegies by Jon Paul Fiorentino from “Variations on a Cardboard Crown” by Stephanie Yorke “My Place” by John Grey “Dump Bear” / “I am from Northern Ontario” by Marguerite Pigeon “You can never go home” / “Home” by Cara-Lyn Morgan “Note on a Fridge Door” / “Face” by Rocco de Giacomo “Akhmatova’s Samovar” / “The Garden Folly” / “The Veteran Mutters” by Nyla Matuk “Mambo” / “Refrigeradores” by Orlando Ricardo Menes COVER IMAGE “The slimmest of moments when fear subsides and courage takes over” by Ian John Turner
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 | 0.009 |
| 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 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.789 | 0.675 |
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".