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Studies to Chinese College Music Education Management Reform and Development of Countermeasures

2011· article· en· W2108440714 on OpenAlexvenueno aff
Bing Xu, Jing Sun

Bibliographic record

VenueStudies in sociology of science · 2011
Typearticle
Languageen
FieldComputer Science
TopicEngineering and Information Technology
Canadian institutionsnot available
Fundersnot available
KeywordsMusic educationChinaValue (mathematics)SociologyIntersection (aeronautics)Social changePedagogyOrder (exchange)Higher educationEducation reformPolitical sciencePsychologyPublic relationsPrimary educationEngineeringComputer scienceLaw

Abstract

fetched live from OpenAlex

China is in a period of social transformation of dramatic change, social transformation provides a good opportunity for Chinese college music education reform and development, but also has posed a severe challenge to the old philosophy of education. Music education at the intersection of art and education, both artistic, there are scientific; it is a course, but also a discipline. Therefore, on the one hand music education activities take the fully teaching practices to realize their own existing value, to complete education task of aesthetic as the core; the other hand, they need to keep research and thinking to many theoretical and practical issues of music education, and through the certain formation to form it results, in order to better guide and promote the discipline toward more better, more mature goal development. Key words: College music education; Music education management; Teaching quality; Reform and development

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.065
GPT teacher head0.331
Teacher spread0.266 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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