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Record W2123667700 · doi:10.2307/2672450

Cinema and Urban Culture in Shanghai, 1922-1943

2000· article· en· W2123667700 on OpenAlexvenueno aff
Paul G. Pickowicz

Bibliographic record

VenuePacific Affairs · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterMedia studiesPolitical scienceArtSociologyArt history

Abstract

fetched live from OpenAlex

List of illustrations Acknowledgments Note on romanization List of contributors 1. Introduction: cinema and urban culture in republican Shanghai Yingjin Zhang Part I. Screening Romance: Teahouse, Cinema, Spectator: 2. Teahouse, shadowplay, bricolage: laborer's love and the question of early Chinese cinema Zhen Zhang 3. The Romance of the Western Chamber and the classical subject film in 1920s Shanghai Kristine Harris 4. The urban Milieu of Shanghai cinema, 1930-40: some explorations of film audience, film culture, and narrative conventions Leo Ou-fan Lee Part II. Imaging Sexuality: Cabaret Girl, Movie Star, Prostitute: 5. Selling souls in sin city: Shanghai singing and dancing hostesses in print, film, and politics, 1920-49 Andrew D. Field 6. The good, the bad and the beautiful: movie actress and public discourse in Shanghai, 1920s-1930s Michael G. Chang 7. Prostitution and urban imagination: negotiating the public and the private in Chinese films of the 1930s Yingjin Zhang Part III. Constructing identity: Nationalism, Metropolitanism: 8. Constructing a new national culture: film censorship and the issues of Cantonese dialect, superstition, and sex in the Nanjing decade Zhiwei Xiao 9. Metropolitan sounds: music in Chinese films of the 1930s Sue Tuohy 10. 'Her traces are found everywhere': Shanghai, Li Xianglan, and the 'Greater East Asia film sphere' Shelley Stephenson Filmography Notes Selected bibliography Character list Index.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.943

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.256
Teacher spread0.245 · 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 designQualitative
Domainnot available
GenreOther

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

Citations65
Published2000
Admission routes1
Has abstractyes

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