Bibliographic record
Abstract
1 volume. "Bitter Chocolate was written and designed by Julie Chen. Illustrations of the cacao forest and cacao pods were created by Keri Miki-Lani Schroeder. All other images were created by Julie Chen. All elements were letterpress printed from photopolymer plates on a variety of papers including Old Masters handmade paper from Papeterie Saint-Armand in Montréal, Zanders Elephant Hide and Hahnemühle Ingres"--Colophon. Commissioned for inclusion in "Just one look," an exhibition of contemporary book arts held in the Special Collections Division of the University of Washington Libraries from March 31-July 29, 2016. Limited edition of 50 copies, signed and numbered. Narrative about a fictional goddess of chocolate, "Cacao Woman," a character loosely adapted from the Popul Vuh, the Mayan Book of Council. It is interspersed with historical and contemporary facts about chocolate production and consumption, as well as vignettes from the author's personal history with chocolate. Book is bound in Jacob's Ladder format and enclosed in a cloth-covered, four-flap case with magnetic closures. Title label on top of case. Title, colophon, and "forward" printed letterpress on three sheets mounted inside case. "The Jacob's ladder structure allows for four distinct presentations of content. The book is first unfolded into accordion format, presenting the reader with visual and written content on each side. Then the page panels can be flipped over within the hinge straps that connect them revealing the second half of the content. The full meaning and impact of the story is only revealed when all four parts of the content are discovered and read"--Artist's website, viewed November 30, 2016.
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 | 0.000 |
| 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 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.217 | 0.074 |
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".