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
Schematic Shane Neilson (bio) Look, the girl drew a picture.A blue crayon line rises to the topof the page and off. Anothermeanders, then breaks right,and stops in a big dark scribble-mess. “What is it?” you ask,because she won’t say,even though she usually does. Every word from her mouthis rain. The picture mist-ifies.She rises to dance in a patternthat was the map—you knownow, the picture was a map.Or was it a rain dance step guide?She’s at the messy part, flopping down on the floorto scream; but each kick and beatis rain, rain, rain; the screamis the hardest you’ve ever heardthe rain come down. Is there a schematicfor soothing? Listen, you tell heras she pelts, this is somehowthe strongest sound in the world. [End Page 113] Shane Neilson Shane Neilson is a mad and autistic poet, physician, and critic from New Brunswick, Canada, who has appeared in Poetry Magazine, Literature and Medicine, and Verse Daily. He published The Suspect We with collaborator Roxanna Bennett and Palimpsest Press in the spring of 2023. Copyright © 2023 University of Nebraska Press
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 | 0.000 | 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) | 0.005 | 0.033 |
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