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
Ever After by Kim Addonizioshort story Four Stories by Joshua Beckman and Matthew Rohrershort stories Appleless by Aimee Bendershort story Carrion Comfort by Mary Caponegroshort story Rapenzelus Goldilocksii by Julie Choffel poetry Girls Will Be Girl Scouts by Monica Fambrough poetry Two Poems by Sarah Hannahpoetry Hansel by Brent Hendrickspoetry Thirteen Tales by Norman Lockshort stories A Case Study of Emergency Room Procedure and Risk-Management by Hospital Staff Members in the Urban Facility by Stacey Richtershort story The White Cat by Marjorie Sandorshort story Six Prints by Kiki Smithart From Barrie to Stevenson by Donna Tarttcreative nonfiction Two Poems by Sara Veglahnpoetry Rapture by Marina Warnershort story Transcript of the Panel Discussion from “Retelling Little Red et al: Fairy Tales in Art & Literature” Gramercy Theatre, NYC by Kate Bernheimerinterview
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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it