Contents, acknowledgements and contributors
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
Anyone who has enjoyed the experience (largely gratifying but also, at certain moments, downright exhausting) of participating in an editorial project knows that the final product reflects not only the work of those who are credited in it, but also a crowd of invisible contributions that aided its coming into the world. We would like to express our deepest gratitude to Enrique Torralba, who generously designed the cover of this volume. We would also like to thank the Law Students’ Association and the Faculty of Law’s Dean at McGill University, who each provided us with funds for the copyright clearances for many images reproduced in the following pages, as well as the prize money for the creative submission contest that resulted in the inclusion of John Hanamy’s work. Ana Merino, Desmond Manderson and Julia Quilter also graciously volunteered their time as jurors for the contest - thank you for your time and judicious acumen.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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