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Record W2603344816

Tem morna, tem coladera: as raízes cabo-verdianas da música universal de Cesária Évora

2007· article· pt· W2603344816 on OpenAlexaff
George Lang

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2007
Typearticle
Languagept
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

O sucesso comercial de Cesária Évora rivaliza-se com o de qualquer outro intérprete africano da música universal e tomou-se sinônimo de Cabo Verde para seus inúmeros fãs initernacionais. Cantando principalmente no dialeto do norte ou barlavento crioulo de sua Mindelo nativa (quando não utiliza o português ou o espanhol), Cesária contempla toda a gama da cultura musical cabo-verdiana, incluindo a da ilha do sul ou de sotavento de Santiago. Seu trabalho desenvolve-se no contexto do contraste de longa data entre Mindelo, porto internacional de abastecimento e provi­sões relativamente cosmopolita durante o século XIX, e a ilha de Santia­go, onde se localiza a capital, Praia, culturalmente muito mais "africana" e menos desenvolvida economicamente. Este estudo principia com os gê­neros de música e dança a que Cesária se refere na estrofe bem conheci­da da canção "Petic pays": "[...) Tem morna, tem coladera [...] Tem batuco, tem funanâ". Essa alusão às "raízes" da música de Cabo Verde não apenas desempenha um papel ideológico, colocando a cantora e sua música no amplo contexto do nacionalismo cultural de Cabo Verde, como também nos permite vislumbrar algumas dimensões da unidade cultural mais am­pla do mundo atlântico lusófono, assim como formas de empréstimo e troca praticadas no metagênero da música universal.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.012
GPT teacher head0.237
Teacher spread0.225 · 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 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
Published2007
Admission routes1
Has abstractyes

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