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Entre o fantástico e a realidade, a história guianense segundo Michel Lohier através de suas Lendas e Contos folclóricos da Guiana

2022· article· pt· W4316494451 on OpenAlexaff
Marie-Simone Raad, Lucas Ferreira Gois

Bibliographic record

VenueCadernos de Literatura em Tradução · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicUrban and sociocultural dynamics
Canadian institutionsWestern University
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Neste artigo, proponho-me a mostrar como Michel Lohier, autor guianense do século XX, consegue apoderar-se da história guianense a fim de introduzi-la em seus contos e lendas. Este último mistura a fantasia com a realidade através de crenças fantasmagóricas. As narrativas de Lohier ilustram ao mesmo tempo o sistema colonial e a alienação do colono europeu sobre o homem negro. Por meio da alegoria, assistimos a um confronto entre o escravo e o mestre. Neste sentido, o leitor torna-se testemunha de uma luta sem tréguas entre a astúcia e a inteligência dos mais fracos contra a estupidez e a maldade, e até mesmo a cobiça, dos mais fortes, o que acentua, por conseguinte, o questionamento do poder colonial. Esse combate simboliza assim a vitória do escravo sobre o colono, levando dessa forma à dessacralização deste último. Na reflexão proposta, tratar-se-á de mostrar como o mundo colonial é representado através do imaginário e, sobretudo, como a história da Guiana é apresentada. Portanto, será necessário estudar a forma como se desenrola toda uma lição de História através de uma simples narrativa, e também nos atentarmos à cenografia encantadora própria do universo dos contos guianenses.

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, Research integrity, 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: Empirical
Teacher disagreement score0.587
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
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.288
Teacher spread0.259 · 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
Published2022
Admission routes1
Has abstractyes

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