Bibliographic record
Abstract
“Twenty Dreams is a two-part experiment. The first part, the narrative within, addresses some of the limitations and possibilities of theorizing climate catastrophe and ecocide alongside race and racism. The second part centres bookmaking and book design, honouring a range of black creative practices which can be gleaned in self-publishing, the circulation of activist pamphlets, the beauty of first editions, cherished worn paperbacks, and more. Working with Cristian Ordóñez, the design of Twenty Dreams is animated by lists, dreams and daydreams, rest, wire bees, thread, black, yellow, and white paper and print, and a tactile cover, all of which loop back to the narrative and signal, if only for a moment, an aesthetics of renewal. The first run of Twenty Dreams was a limited-edition sewn-bound hardcover printed by The Gas Company in Toronto. This first run, not for sale, was mailed to colleagues, comrades, artists, galleries, and libraries in Autumn 2024. This second run of Twenty Dreams is a sewn perfect bound softcover, signed by the author, also printed by The Gas Company. This second edition is for sale, with a portion of the proceeds going to The Beverley School, in Toronto, to support the building of their sensory room for kids with special needs.” -- Distributor's website.
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.200 | 0.064 |
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".