Bibliographic record
Abstract
Su Yansheng, Curator, Director and Professor of the Department of Painting, Fine Art School, Shanghai Normal University. \nThe cultural construction of the digital age has brought about rapid changes in contemporary art. Printmaking corresponds to digital media and the benefits from new technologies and diversity of production. Under the impact and influence of new media, print artists may apply technology to search for new visual symbols, by maintaining the original language to achieve a balance between the process of change and conservation.\n"The 5th Shanghai Intaglio Exhibition" is based on the academic promotion of copperplate engraving. It is an opportunity for new forms of printmaking to be presented in an era of "post-printing" and "post-image". This exhibition brings together the famous intaglio prints created by renowned art academies and famous Chinese and foreign printmaking artists in recent years. The institutions invited to participate in the exhibition include: Central Academy of Fine Arts, Fine Arts Academy of Tsinghua University, China Academy of Art, Lu Xun Academy of Fine Arts, Xi'an Academy of Fine Arts, Tianjin Academy of Fine Arts, Guangzhou Academy of Fine Arts, Sichuan Academy of Fine Arts, Hubei Academy of Fine Arts, Nanjing Art Institute, Central China Normal University of Fine Arts, China National People's University Academy of Fine Arts, Shanghai Academy of Fine Arts, Shanghai Normal University Academy of Fine Arts and other arts institutions. In addition to China, there are also printmaking artists from Italy, the United Kingdom, the United States, Norway, Poland, and Canada. There are more than 120 works by more than 120 artists.\n\nSee also: https://mp.weixin.qq.com/s/sHPVbidm7ygDgRg2_rD2sQ?
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.035 |
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".