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Record W1784214756 · doi:10.3968/6972

Discussion on Reform of Music Education in Normal Colleges Based on Primary and Secondary School Music Teachers’ Quality

2015· article· en· W1784214756 on OpenAlexvenueno aff
Li Wei

Bibliographic record

VenueHigher education of social science · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsMusic educationQuality (philosophy)Mathematics educationPerspective (graphical)ChinaPrimary (astronomy)PedagogyPrimary educationPsychologySociologyPolitical scienceArtVisual arts

Abstract

fetched live from OpenAlex

The primary and secondary school music teachers are an important part of China’s basic music education, and their professional quality directly influences the quality of basic music education. Therefore, it is especially important to improve the quality of primary and secondary school music teachers, and this task shall be completed in the music education in normal colleges. The effect of reform of music education in normal colleges can be well reflected in the quality of primary and secondary school music teachers. As for this problem, this paper firstly explains the requirements for quality of primary and secondary school music teachers, and then seeks for the direction for reform of music education in normal colleges from perspective of quality of primary and secondary school music teachers for the purpose of providing certain theoretical basis for the reform of music education in normal colleges.

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)0.009
metaresearch head score (Gemma)0.008
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 score0.014
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.010
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0040.004
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 head0.065
GPT teacher head0.309
Teacher spread0.244 · 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
Published2015
Admission routes1
Has abstractyes

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