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Record W2351492587

Railway and Desire——A Culturally Symptomatic Reading on Iron Road

2009· article· en· W2351492587 on OpenAlexaboutno aff
Ran Wei

Bibliographic record

VenueJournal of Zaozhuang University · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationContext (archaeology)Multinational corporationNationalismChinaVictoryTheme (computing)SociologyEconomyHistoryPolitical sciencePoliticsEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

The construction of the Pacific Railway laid a foundation for Canadian national identification.Meanwhile,the experience that Chinese immigrants who made great contribution and sacrifices to this project could not share the keynote of the national dream is represented as an eternal theme in the Chinese Canadian literary texts.In this context,I will scrutinize a Canadian-Chinese Co-production film,Iron Road(dir.David Wu,2008) which focuses on the contribution of Chinese Laborers to the Canadian Pacific Railway and outlines an immigrant epic.The film could be regarded as a delayed victory of minority culture movement which starts from 1960s;however,in view of the multinational movie industry,Canadian official capital in the pattern of investment,and the character sets,this film would have to be analyzed in the Asia-Pacific economic structure.This paper considers the Chinese immigrants in Iron Road represent the Global Chinese in Pacific Rim and embody the capitalist and nationalist desire for Asia-Pacific regional integration.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score0.888

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 studies0.0140.017
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.258
Teacher spread0.243 · 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 designNot applicable
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
Published2009
Admission routes1
Has abstractyes

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