Conteúdo de Estética da Música contemporânea em três currículos de graduação em Música na Educação a Distância
Bibliographic record
Abstract
Na transicao do seculo XIX para o seculo XX, emerge uma nova forma de compor, interpretar e apreciar musica, recolocando sua funcao social enquanto arte, bem como a funcao do compositor, do interprete e do ouvinte. Esta nova estetica musical, chamada de musica contemporânea, que e produzida, sobretudo, com o suporte de novas Tecnologias de Informacao e Comunicacao (TIC), faz-se um importante aspecto a ser considerado na formacao do educador musical. Paralelamente a essa questao, a Educacao a Distância, que hoje no Brasil tem se firmado como uma opcao bastante democratica de acesso aos cursos de graduacao e ao saber, tambem se utiliza das TIC como meio de viabilizar o conhecimento. Assim, o presente artigo visa analisar o curriculo de cursos de graduacao em musica na modalidade a distância oferecidos por tres instituicoes brasileiras, UNB/UAB, UFSCar e UFRGS, e identificar a presenca de conteudos ligados a estetica da musica contemporânea. Essa corrente artistica, alem de ter o ambiente virtual de aprendizagem como meio favoravel para seu desenvolvimento, pode contribuir na formacao do educador musical por utilizar de forma criativa e rica o ciberespaco e as tecnologias computacionais.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".