Art and War in Japan and its Empire: 1931-1960
Bibliographic record
Abstract
Art and War in Japan and its Empire: 1931-1960 is an anthology that investigates the impact of the Fifteen-Year War (1931-1945) on artistic practices and brings together twenty scholars including art historians, historians, and museum curators from the United States, Canada, France, Taiwan, Korea, and Japan. This will be the first art-historical anthology that examines responses to the war within and outside Japan in the wartime and postwar period. The anthology will scrutinize official and unofficial war artists who recorded, propagated, or resented the war; explore the unprecedented transnationality of artistic activity under Japan’s colonial expansion; and consider the role of today’s museum institutions in remembering the war through art. Contributors include: Asato Ikeda, Aya Lousa McDonald, Ming Tiampo, Akihisa Kawata, Mikiko Hirayama, Mayu Tsuruya, Michael Lucken, Bert Winther-Tamaki, Mark H. Sandler, Maki Kaneko, Kendall Brown, Reita Hirase, Gennifer Weisenfeld, Kari Shepherdson-Scott, Aida-Yuen Wong, Hyeshin Kim, Laura Hein, and Julia Adeney Thomas.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".