Bibliographic record
Abstract
Scenes from My Life as the Abominable Snowman Jane Yeh (bio) 1. The pseudo-mummification of a disembodied hand 2. Substitute for a doll or dog 3. Gargling consonants by myself in a snow-shaped crib 4. I exult in the dark on an ice-cold schist shelf 5. Communication in code, or popsicle sparrow 6. A brisket, a maths test, a kitten in a basket 7. Two haberdashers walk into a bar . . . 8. If enchilada, then no muy guapa 9. Six fingers, two thumbs, type 4a hair 10. Who ate the snows of yesteryear? 11. Combing the radar waves for insider information 12. I am mistaken for a black bear, a bald deer, a land whale, and blind eagle 13. On the paucity of human understanding 14. Evaded southpaw menace by briskly sketching an exit 15. Trapdoor 1, Homo sapiens 0 16. Soporific lull before the next defensive episode 17. I friend a bird with supersonic powers 18. Into the æther 19. Overview of Nebraska, with added narrative matter 20. Ruh-roh 21. Crash landing and bird's nest followed by partially abandoned cabin 22. As seen in shearling cap with tied-up earflaps 23. Flat as a catfish, pancake, ice rink, or beefsteak [End Page 93] 24. To mallet a mélange of local rabbits 25. Interior of tornado with bust, jug of flowers, and uprooted steer 26. Hello tundra 27. Pointer: optical illusion of Inuit turkey 28. In the hall of the doppelgängers 29. Hermeneutic fondue with surprise and chips 30. On the persistence of singularity [End Page 94] Jane Yeh Jane Yeh's first collection of poems, Marabou, was published in the United Kingdom by Carcanet and short-listed for the Whitbread, Forward, and Jerwood Aldeburgh prizes. Her second collection, The Ninjas, was published by Carcanet in November 2012. Copyright © 2012 Jane Yeh
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.043 | 0.009 |
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".