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Record W7145777264

A Study of Teacher’s Specialty Improvement in Teaching Singing − Through Practice of “Three Minutes Maestro” −

2017· article· ja· W7145777264 on OpenAlexaff
恭子 小林, Kyoko KOBAYASHI

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2017
Typearticle
Languageja
FieldComputer Science
TopicEducational Systems and Policies
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsSpecialtySingingClinical PracticeGeneral practiceAttendance
DOInot available

Abstract

fetched live from OpenAlex

本報告は、「3分間マエストロ」で学生が行う歌唱指導におけるつまずきの改善法について、考察を行ったものである。「3分間マエストロ」は、学生らの指揮活動の経験を増やし、歌唱および歌唱指導能力を高めることを目的に行っている本学独自の実践である。学生が本実践で行った歌唱指導の内容を、現行の小学校学習指導要領音楽科に示されている「歌唱の活動を通して」指導する事項、および〔共通事項〕と照らし合わせた結果、その傾向と問題点が6 点明らかになった。その中で「楽曲の気分や曲想を感じ取るための手段がわからない点」および「体を動かす活動(身体表現)が、歌唱活動の学びにつなげられない点」に着目し、改善の手だてを先行研究から検討した。そして、より学びの多い「3分間マエストロ」活動を行うために、今後の課題を明らかにした。

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.005
Open science0.0020.001
Research integrity0.0000.001
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 head0.050
GPT teacher head0.340
Teacher spread0.290 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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