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Record W7068933529

Twenty Dreams

2024· book· en· W7068933529 on OpenAlexaboutno aff

Bibliographic record

VenueE-Artexte (Artexte) · 2024
Typebook
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeBeautyWhite (mutation)Race (biology)Narrative structure
DOInot available

Abstract

fetched live from OpenAlex

“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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.200
Threshold uncertainty score0.668

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0070.006
Open science0.0010.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.2000.064

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.

Opus teacher head0.013
GPT teacher head0.272
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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