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Record W2158267741 · doi:10.5539/ies.v2n4p33

On the Economic Approach to Bilingual Education in China

2009· article· en· W2158267741 on OpenAlexvenueno aff
Zhiwei Xiong, Cheng Shao

Bibliographic record

VenueInternational Education Studies · 2009
Typearticle
Languageen
FieldPsychology
TopicSecond Language Acquisition and Learning
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationForeign languageCurriculumBilingual educationVariety (cybernetics)ChinaEconomic globalizationMathematics educationProcess (computing)Language educationPhenomenonEconomics educationSociologyPedagogyPolitical scienceComputer sciencePsychologyPrimary educationArtificial intelligenceEpistemology

Abstract

fetched live from OpenAlex

In the process of globalization, each country culture retains an independence from the others besides in reality a fusion of several cultures. Bilingual education as an effective means and intangible resource, which have long been neglected, will play an important part in social and economic development in China.Bilingual education, in this method of language instruction, the regular school curriculum is taught through the medium of a foreign/second language. The foreign/second language is the vehicle for content instruction. The subject of the instruction is to make students master language as well as subject knowledge.This thesis attempts to expound the necessity of the implementation of bilingual education in China in the process of globalization. Bilingual education is mot a unitary language phenomenon and usually displays an essentially economic concern for the languages to be used. Hence, economics can be of service and offer insights and information in the study of language issues that other approaches do not provide so far. besides, the problems in China’s bilingual education are analyzed, followed by a list of suggestions for reference, however, due to a variety of reasons ,there still exist several drawbacks like lack of linear research and whatnot. Those are to be dealt with in further researches.Keywords: Globalization, Bilingual education, Economics, Problems

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.997

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)0.0030.001

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 head0.037
GPT teacher head0.426
Teacher spread0.389 · 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.

Study designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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