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Record W7161171652 · doi:10.11606/003100560

A folia em disputa ; transformações do carnaval de rua de São Paulo

2022· dissertation· W7161171652 on OpenAlexaboutno aff
Giulio Vieira Carvalho

Bibliographic record

Venuenot available
Typedissertation
Language
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHistorical recordRidiculousQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

O presente trabalho monográfico visa estudar as transformações pelas quais passou o carnaval de rua de São Paulo nos últimos dez anos, mais especificamente após a reestruturação da política do carnaval encabeçada pelos blocos da cidade em 2013. Sua elaboração se deu através de leituras de bibliografia acadêmica e entrevistas com pesquisadores e sujeitos do carnaval paulistano. Além disso, contou com a análise de uma série de documentos (reportagens, depoimentos, manifestos, dados oficiais, etc.) para a compreensão do fenômeno carnavalesco e trabalho de campo. Neste contexto, primeiramente é feita uma recuperação acerca do desenvolvimento histórico da festa no Brasil e na cidade de São Paulo, e uma análise da reestruturação de 2013, pautada na ideia de direito à folia, fortemente ancorada nos ideais de direito à cidade. Adiante, apresenta-se o cenário heterogêneo de blocos de carnaval da cidade, e a partir de observações de campo se constata e analisa transformações ocorridas com o crescimento do evento. Também são explorados, em particular, os desdobramentos do cancelamento das edições de 2021 e 2022 do carnaval de rua em decorrência da pandemia de COVID-19.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.275

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.015
GPT teacher head0.263
Teacher spread0.248 · 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 designQualitative
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
Published2022
Admission routes1
Has abstractyes

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