Introspection and Reconstruction: Review of the Centennial Celebration of Chinese Cinema and the 2005 Annual Conference of ACSS
Bibliographic record
Abstract
Chinese Cinema and Asian Cinema in the Context of Globalization: International Conference of the Centennial Celebration of Chinese Cinema,” the conference co-hosted by Shanghai University, Peking University, and Asian Cinema Studies Society, was held at Peking University and Shanghai University, respectively, from July 6 to 10, 2005. Nearly 200 scholarly papers from 20 countries and regions, including the United States, England, Canada, Japan, Korea, India, Singapore, New Zealand, Taiwan, Hong Kong, and Macau, were accepted and discussed. With as many as 33 interest groups, the conference becomes another significant event for the conversation between Eastern and Western film scholars after the successful “International Conference of Film Aesthetics and Theoretical Trend” held by Shanghai University in 2004.2 In addition to celebrating the centennial of Chinese film, the launch of the conference is also related to the rising popularity of Chinese film in academia overseas. Since the 1990s, there is the tendency that film is gradually replacing the traditional art forms, such as novels, to become one of the major tools for the West to observe, imagine, and even construct the concept of the East. This tendency follows the intensified globalization process, the development of information technology, and the rising of audio-visual media.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".