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
Everybody loves the movies. But a movie about the colour blue, or an isolated mountain range, or a man grown so thin the world floats through his perfect transparency? 'You know what would be really great - to make a two-hour movie about Taylor Mead's ass, ' remarked Andy Warhol, the most notorious fringe filmer of them all. Welcome to the strange and wonderful universe of fringe cinema, where the only rules left unbroken are the ones that have been forgotten. Twenty-three interviews with Canada's finest underdogs lay it all down like a road, ready to take you through the vanishing point of personality. This new edition includes a foreword by Atom Egoyan, and features never-before-heard raps from Ellie Epp, David Rimmer, Ann Marie Fleming, Anna Gronau, John Kneller, Rick Hancox and Kika Thorne, joining fellow fringers like Mike Snow, Carl Brown, Patricia Gruben, Penelope Buitenhuis, Fumiko Kiyooka, Wrik Mead, Annette Mangaard, Garine Torossian, Richard Kerr and Mike Cartmell.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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