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Record W2333025090 · doi:10.1386/ac.17.1.5_1

Introspection and Reconstruction: Review of the Centennial Celebration of Chinese Cinema and the 2005 Annual Conference of ACSS

2006· article· en· W2333025090 on OpenAlexaboutno aff
Chuan Shi

Bibliographic record

VenueAsian Cinema · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsCentennialMovie theaterContext (archaeology)GlobalizationHollywoodMedia studiesPopularityHistoryChinaFilm industryPolitical scienceArt historySociologyLawArchaeology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.245
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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