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Record W7120638476

Brasil e Quebec: pontos de identificação através do discurso literário: Um diálogo intertextual entre "Le nez qui voque" de Réjean Ducharme e "Viva o povo brasileiro" de João Ubaldo Ribeiro

2025· dissertation· pt· W7120638476 on OpenAlexaboutno aff
Dayana dos Santos Ribeiro Rafael

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2025
Typedissertation
Languagept
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeEthnographyIntertextualityCultural identity
DOInot available

Abstract

fetched live from OpenAlex

A presente tese de doutorado examina o tema do complexo de inferioridade pós-colonial – que resulta em uma desvalorização da cultura local em favor da estrangeira – e a eleição do abastardamento cultural como estratégia de reinvenção da consciência coletiva e identitária dos indivíduos inseridos nos continentes americanos. A partir da leitura das obras Viva o povo brasileiro, de João Ubaldo Ribeiro (1984), e Le Nez qui voque, de Réjean Ducharme, (1967) – que promovem uma revisitação crítica do passado histórico – assim como da análise das vozes e personagens presentes nessas narrativas, pretendemos identificar elementos que dialoguem, através da metáfora literária, com o processo de formação das identidades culturais brasileira e quebequense. Em ambos os textos, os autores desafiam a noção de pureza cultural e criticam o elitismo, promovendo a valorização do hibridismo cultural.

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)0.004
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 score0.062
Threshold uncertainty score0.450

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0160.009
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.017
GPT teacher head0.251
Teacher spread0.234 · 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
Published2025
Admission routes1
Has abstractyes

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