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Record W2007706085 · doi:10.5539/ies.v1n4p114

Chinese Environment or Western Environment: Which Choice the Art Education Should Make at the Crossroads?

2008· article· en· W2007706085 on OpenAlexvenueno aff
Yingying Qiao, Li Zhang

Bibliographic record

VenueInternational Education Studies · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsnot available
Fundersnot available
KeywordsChinaFace (sociological concept)Visual arts educationGlobalizationTraditional educationSocial changeSociologyMode (computer interface)Chinese artEducation reformHigher educationPublic relationsEconomic growthEngineering ethicsPolitical sciencePedagogyEngineeringEconomicsComputer scienceSocial scienceLawThe arts

Abstract

fetched live from OpenAlex

In twenty years since reforming and opening up, China has developed an active and stable road of reform belonging to her, and the art circle has immediately become the swiftest industry. Especially in the 21st century, with the development of globalization, the economic strength of China is continually strengthened and the comprehensive national strength is continually enhanced, which offers the extended platform for art education and a new opportunity for the development of various colleges. At the present time, China art education is in the new primary stage of continual improvement and reform, and the change of environment compels we must reconsider the challenges what we face. Whether the education system under traditional mode can adapt the development of new situation? Whether it is feasible to blindly exclude external culture? Facing new problems, we must adopt new methods. As viewed from artists’ views, this article analyzed problems existing art education from various aspects, and aiming at the combination of different art education types with the social education mode on multiple layers such as science, ethic and culture, we introduce the new education concept of “ecological view of art” and study that from our own opinions.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.432
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.003

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 head0.087
GPT teacher head0.352
Teacher spread0.264 · 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; both teacher heads agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

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