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Record W2318306921 · doi:10.1386/ac.23.1.31_1

No Country for Young Men: Chinese modernity, displacement, and initiatory ritual in Chinese Sixth Generation cinema

2012· article· en· W2318306921 on OpenAlexaff
Derek Gladwin

Bibliographic record

VenueAsian Cinema · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsModernityModernization theoryBeijingChinaGender studiesMovie theaterNarrativeSociologyPopulationAestheticsHistoryPolitical scienceArtLiteratureArt historyDemographyLaw

Abstract

fetched live from OpenAlex

This article examines youth initiation in two Chinese Sixth Generation films, Wang Xiaoshuai's Shiqui sui de dan che/Beijing Bicycle (2001) and Li Yang's Mang jing/Blind Shaft (2003). It addresses the broader issue of the 'floating population' in China and the impact that rapid modernization has on the social fabric of Chinese society. It also suggests that in light of such social injustices and cinematic representation in the post-socialist China of today, under the guise of modernity and economic progress, there exists a dislocated and disconnected transition into adulthood for youth populations. This article argues that Wang and Yi directly investigate one of the consequences of Chinese modernity: disrupted youth initiatory ritual. Beijing Bicycle and Blind Shaft depict in a narrative documentary form an entire generation of Chinese youth who have been geographically and psychologically displaced as they lose their family connections and education opportunities, move from job to job, and fail to experience appropriate initiation into adulthood, all of which have contributed to a fractured social system.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.336
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2012
Admission routes1
Has abstractyes

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