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Record W7120485028

O RAP autóctone no Brasil e no Quebec. Brô MC’s e Samian: “Inclassificáveis”.

2017· article· pt· W7120485028 on OpenAlexaboutno aff

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2017
Typearticle
Languagept
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)EthnographyWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Desde a década de 1980, o RAP é utilizado por comunidades periféricas e excluídas como canais de manifestação artística e cultural, bem como de questionamento social, de resistência e de enfrentamento aos poderes instituídos pelo mundo capitalista. Neste artigo, propomos uma aproximação entre o RAP produzido por índios brasileiros, representantes da etnia Kaiowá-Guarani, "Brô MC's", do Estado do Mato Grosso do Sul, que misturam a língua portuguesa com o Guarani para denunciar sua situação de miséria e de confinamento. O rapper mestiço Samian (Samuel Tremblay), por sua vez, originário da comunidade de Pikogan, utiliza a língua francesa e o "algonguin" para produzir seu trabalho artístico, de protesto e de denúncia. Em ambos os casos, o RAP coloca em evidência as disputas de terra e o apagamento da cultura indígena, bem como da própria vida do índio. O RAP se ocupa em ser o enunciador que dá voz para as populações indígenas e coloca em evidência os conflitos sociais e culturais entre a vida cotidiana dos grandes centros urbanos do Brasil e do Quebec e as realidades das comunidades autóctones

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)0.023
metaresearch head score (Gemma)0.024
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0340.007
Scholarly communication0.0010.002
Open science0.0030.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.002

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 head0.155
GPT teacher head0.482
Teacher spread0.327 · 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; both teacher heads agree on what is shown here.

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)Same topicIndigenous Health and EducationFrench-language works237,207