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On the Role of the Vocal Teacher’s Capability of Singing Played at Vocal Music Teaching

2009· article· en· W1896875109 on OpenAlexvenueno aff
Zhang Jiefu

Bibliographic record

VenueCanadian social science · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSingingHumanitiesArtVocal musicMusic educationVisual artsMusicAcoustics

Abstract

fetched live from OpenAlex

Vocal music is an art of seeing, hearing and sensation and vocal music teaching is not as audio visual as that of the other types. Students learn only through the teacher’s correct demonstration singing and teaching language to comprehend and experience conscientiously. In my years of teaching practice, I realized deeply how important the teaching quality is for students. This paper expounds the roles and importance of the vocal teacher reaching a certain level in singing capability in terms of the distinctiveness of vocal music teaching. Key words: Improve, the capability of singing, vocal music teaching, role Resume: La musique vocale est un art de perception audio-visuelle. L’enseignement-apprentissage(E/A) de la musique vocale n’est pas aussi direct que celui des autres disciplines. Les eleves n’apprennent qu’en percevant par l’intelligence a travers la demonstration correcte du professeur et son langage d’enseignement. Durant l’enseignement de longue date, l’auteur eprouve profondement l’importance de la qualite d’enseignement de la musique vocale. Commencant par les particularites de l’E/A de la musique vocale, le present article expose le role et l’importance de la capacite de chanter des professeurs dans l’E/A de la musique vocale. Mots-Cles: amelioration, capacite de chanter, E/A de la musique vocale, role

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.862
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.223
Teacher spread0.173 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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