Bibliographic record
Abstract
“This ambitious, very important project defines no less than a new field of inquiry, one that scarcely could have been attempted in the past. The essays in this volume add enormously to the documentation of what late-period Chinese art learned from Japan, and begin to formulate conclusions that will enrich future accounts of both Japanese and Chinese art.” James Cahill, University of California, BerkeleyThe modern histories of China and Japan are inexorably intertwined. Their relationship is perhaps most obvious in the fields of political, economic, and military history, but it is no less true in cultural and art history. Yet the traffic in artistic practices and practitioners between China and Japan remains an understudied field. In this volume, an international group of scholars investigates Japan’s impact on Chinese art from the mid-nineteenth century through the 1930s. Individual essays address a range of perspectives, including the work of individual Chinese and Japanese painters, calligraphers, and sculptors, as well as artistic associations, international exhibitions, the collotype production or artwork, and the emergence of a modern canon.Joshua A. Fogel is Canada Research Chair and a professor of history at York University, Toronto, and a specialist in the history of cultural and political ties between China and Japan in the modern era.Contributors: Julia F. Andrews | Shana J. Brown | Chen Jie | Lisa Claypool | Walter B. Davis | Zaixin Hong | Yu-chih Lai | Tamaki Maeda | Kuiyi Shen | Richard Vinograd | Cheng-hua Wang | Aida Yuen WongNew Perspectives on Chinese Culture and Society, 3
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".