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Record W2318472449 · doi:10.5509/2009822211

The Attitudes of Urban Chinese towards Globalization: A Survey Study of Media Influence

2009· article· en· W2318472449 on OpenAlexvenueno aff
Francis Lee, Zhou He, Chin-Chuan Lee, Wan‐Ying Lin, Mike Yao

Bibliographic record

VenuePacific Affairs · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Urban Networks and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationEconomic geographyPolitical scienceSociologyGeography

Abstract

fetched live from OpenAlex

Since Deng Xiaoping's southern tour in 1992 to reenergize the marketization drive in China, the Chinese government's policy towards has been one of active engagement. His successor Jiang Zemin, and current President Hujintao, with their respective proclamations of Three Represents and Harmonious World,1 have continued the push to embrace global capitalism. Opening the country to global capital is seen by Chinese national leaders as a way to further the country's market reform. At the same time, China has also been eager to participate in the international community in various manners to strengthen its international standing and portray itself as a peaceful rising power. Prompting nationalist sentiments in the global context is a way to restore the Communist regime from the brink of legitimacy crisis caused by the Tiananmen crackdown in 1989.2 Notably, the shift of policy by China since the early 1990s also coincided with Washington's abandonment of the containment policy and shift towards attempting to integrate China into the global community.3 Meanwhile, the most important symbols of China's coming of age are its long-awaited accession to WTO in 2001 and its hosting of the 2008 Olympic Games. The idea of active engagement with globalization also underlies various domestic

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.014
GPT teacher head0.288
Teacher spread0.274 · 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 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

Citations11
Published2009
Admission routes1
Has abstractyes

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