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Record W1898018762

Exploration of the Use and Reform of Vocal Music Teaching Materials in Chinese Art Colleges

2014· article· en· W1898018762 on OpenAlexvenueno aff
Lu Ji

Bibliographic record

VenueCanadian social science · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationFocus (optics)PublishingInterpretation (philosophy)SociologyVocal musicChinaMusicalAestheticsSingingEngineering ethicsPublic relationsMusic educationPsychologyPedagogyPolitical scienceComputer scienceManagementLawBusinessVisual artsEngineeringMusicArtEconomics
DOInot available

Abstract

fetched live from OpenAlex

With the development of economy and society, new backgrounds and new situation have new expectations of China’s vocal education and higher and higher requirements of vocal teaching materials. This paper raises the idea that “Only brave to create, continue to create, and accelerate to create, can promote the scientific development of vocal music education”, and on this basis, the research idea “taking the applicability of vocal teaching materials as a foothold and taking the language of teaching materials as a breakthrough” is proposed. Meanwhile this paper points out it needs to focus on the unity of means and content in dissemination results; focus on the unity of localization and internationalization in the vision of development; focus on the unity of heritage and learning of tradition and future in study resources; focus on the unity of external expression and grasping the essence in the interpretation of works; focus on the unity of short-term and long-term in the guidance of education. Meanwhile, pointing at the chaos of current textbook publishing and actual situation of many problems, this paper develops a specific reform idea and train of thought, and proposes the wishes and expectations to all the vocal music educators: often having the mind of innovation, often grasping the innovative spirit, often having innovative behaviors and often presenting innovative contribution. It is believed that with the efforts of musical colleagues, our enterprise of vocal music will flourish, the compiling of vocal materials will also become increasingly standardized, and we can expect the appearance of standardized textbooks with professionalism and applicability.

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 categoriesnone
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 score0.940
Threshold uncertainty score0.957

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.122
GPT teacher head0.240
Teacher spread0.118 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2014
Admission routes1
Has abstractyes

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