Book Reviews
Bibliographic record
Abstract
Artemisia Gentileschi: Ten Years of Fact and FictionLeslie Brubaker, Vision and Meaning in Ninth-Century Byzantium: Image as Exegesis in the Homilies of Gregory of NazianzusJean C. Wilson, Painting in Bruges at the Close of the Middle Ages: Studies in Society and Visual Culture; Lynn F. Jacobs, Early Netherlandish Carved Altarpieces 1380–1550.Medieval Tastes and Mass Marketing; Elizabeth Honig, Painting and the Market in Early Modern AntwerpHenri Zerner, L'art de la Renaissance en France: L'invention du classicismeSarah Burns, Inventing the Modern Artist: Art and Culture in Gilded Age AmericaLeah Bendavid-Val, Propaganda and Dreams: Photographing the 1930s in the USSR and the USDonald Albrecht, Ed., The Work of Charles and Ray Eames: A Legacy of InventionMatthew Biro, Anselm Kiefer and the Philosophy of Martin Heidegger; Lisa Saltzman, Anselm Kiefer and Art after Auschwitz
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) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.341 | 0.288 |
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".