Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The following description is provided by the publisher: <br> JUDGES ESSAY <br> LITERARY NONFICTION CONTEST <br> WINNING ENTRY <br> “My Father / My Husband” by David J. Lawless <br> FIRST RUNNER UP <br> “Missing in Action” by Ayelet Tsabari <br> 2nd RUNNER UP <br> “Leaving Lares” by Elizabeth Haynes <br> FICTION <br> “I Can Tell You’re Good People” by Julie Woods Karnes <br> POETRY <br> “At Moishe’s, St. Laurent, Montreal”/ “Debaucher’s Trivia as Villanelle” / “Debaucher’s Villanelle / “Neighbours” by Elizabeth Bachinsky <br> “link gaetz” by Michael Meagher <br> “Know Thy Ballast” by Michael Chaulk <br> from “Wyrd England” by Lakshmi Gill <br> “Reasons not to say I love you” by Jordan Mounteer <br> “Bicycle” / “Duet” / “Coffee Pot” by Lorna Crozier <br> three character portraits in search of Gertrude Stein by Renee Sarojini Saklikar <br> “The Unveiling of the Emily Carr Statue, Victoria, BC, (October 13 2010)” by Stephanie McKenzie <br> “How to Lubricate a City” by Allison LaSorda <br> “Matachika” by Blair Trewartha <br> “A Goose” by Brian Swann <br> “Endurance” by Jean McNeil <br> “November” by Claire Caldwell <br> COVER IMAGE <br> “Emily Carr” 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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 it