Bibliographic record
Abstract
The following description is provided by the publisher: <br> FICTION <br> “Is Alive and Can Move” by kris bertin <br> “The Door in the Wall” by Craig Boyko <br> “Why I Read Beowulf” by Shashi Bhat <br> “Krupkee, on the Molecular Level” by Andrew MacDonald <br> NONFICTION <br> “The Chair Are Where People Go” by Misha Glouberman and Sheila Heti <br> POETRY <br> “The Disney Princesses” / “To My Vermiform Appendix” / “To the Belugas Seen Through the Underground Viewing Tank at the Vancouver Aquarium” by Susan Holbrook <br> “Doing Business With Poets” by Lesley Battler <br> “Fossil Record” by Peter Chiykowski <br> “Twenty Reasons to Avoid Thinking” by Carolye Kuchta <br> “Into a White Space I am Driven and Let Go” / “Ourselves Lit Up” by Jan Conn <br> “71” / “73” / “94” by Andy Weaver <br> “Canada Customs Office” by Bert Almon <br> “La Historia del Viento” / “The History of the Wind” / “Retrato de Mi Padre” / “Portrait of My Father” by Homero Aridjis translated from the Spanish by George McWhirter <br> “Tuesday” by Dexine Wallbank <br> “Produce (a snuff film)” / “threadwork” by Annette Lapointe <br> COVER IMAGE <br> “dinosaur drawing #17” by Ryan Quast
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".