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Record W2969811835 · doi:10.7202/1062427ar

Keeping Choro Alive in Brazilian Concert Music for Bassoon

2019· article· en· W2969811835 on OpenAlexvenueno aff
Ariana Pedrosa

Bibliographic record

VenueRevue musicale OICRM · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRepertoirePopularityNationalismPopular musicTasteRaising (metalworking)HistoryAestheticsAdvertisingPolitical scienceArtVisual artsLiteraturePsychologyLawEngineering

Abstract

fetched live from OpenAlex

Brazilian concert music for bassoon—the fruit of the Brazilian nationalist movement of the 19th and 20th centuries—is challenging for performers due to the circumstances in which this repertoire emerged and the influences underlying it. Here, the role of Brazilian popular music in the formation and establishment of this repertoire is often unstated or understated. One important popular genre unique to Brazil is choro. It is impossible to deliver a faithful performance of many of the Brazilian nationalist music pieces heavily influenced by choro without some acquaintance with this genre. These considerations have become especially relevant due to the widespread popularity of Brazilian concert music repertoire for bassoon all around the world. Informed performance practice in ‘good taste’ can result, among other, from closing the gaps in knowledge, providing sufficient and clear background and reference information, raising awareness for practices and conventions of the time and style, and passing on the insight of those close to the source in a manner of oral tradition.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.009
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.231
Teacher spread0.192 · 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
Published2019
Admission routes1
Has abstractyes

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