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Record W4367394743 · doi:10.26694/caedu.v5i1.4244

Ensino de Instrumento Musical e didáticas inovadoras

2023· article· pt· W4367394743 on OpenAlexaff
Marco Antonio Toledo Nascimento, Francis Dubé

Bibliographic record

VenueCAMINHOS DA EDUCAÇÃO diálogos culturas e diversidades · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicMusic Education and Analysis
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMusicalArtHumanitiesLiterature

Abstract

fetched live from OpenAlex

A didática da música ainda se constitui como uma área de pesquisa relativamente recente na educação musical (BOURG, 2021). No entanto, a diversidade atual das práticas musicais, a ampliação recente dos contextos escolares e extraescolares para o ensino de instrumentos musicais (NASCIMENTO, 2022), bem como a indução forçada por uma epidemia ao ensino musical remoto (LEMAY, 2021) estimularam reflexões dos professores sobre o desenvolvimento e a aprendizagem musical neste novo contexto. Este número da Revista Caminhos da Educação propõe a difusão de pesquisas permeadas por novos caminhos didáticos trilhados por professores de instrumentos musicais em suas práticas pedagógicas.

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)0.004
metaresearch head score (Gemma)0.010
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 score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.008
Scholarly communication0.0100.007
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

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 head0.085
GPT teacher head0.364
Teacher spread0.279 · 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
Published2023
Admission routes1
Has abstractyes

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