Bibliographic record
Abstract
60 unnumbered pages : color illustrations Printed by archival inkjet in a numbered edition of 30 copies, signed. "Delirium is a book born of the Covid-19 pandemic and time spent in lock-down. The text uses a paragraph from the 1866 masterpiece "Crime and Punishment" by Fyodor Dostoyevsky. Towards the end of the book, his protagonist, Rodion Romanovich Raskolnikov, has a feverish dream. This strangely prophetic text is quoted and used as the narrative line in this book. Highly manipluated images of jewel-like approximations of the corona virus appeared all over the web in the first few months of the pandemic and serve as the illustrations"--information sheet laid in. "Delirium is printed in 2020 by archival inkjet on acid-free Mohawk paper in a signed and numbered edition of 30. It has been handbound by the artist. The font used is Northwoods, by Cultivated Mind Foundry in Vancouver, BC, Canada. It was chosen because it is similar to a 19th century schoolbook printer typeface, yet still appears quite modern. Like many of their fonts, Northwoods was originally created with a sign-painters brush."--Colophon. Mounted sticker on box: Winner of 2020 AIGA 50 Books / 50 Covers, one of best 50 books of 2020. Library has copy no. 25. In phase box.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.605 | 0.455 |
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".