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Peri em Brocéliande: o deserto-floresta n’O Guaraní, de José de Alencar

2019· article· en· W2975127726 on OpenAlexfundno aff
Marcos Flamínio Peres

Bibliographic record

VenueRecial · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsnot available
FundersUniversity of TorontoHarvard University
KeywordsHERONarrativeCharacter (mathematics)Representation (politics)Order (exchange)Plot (graphics)ArtFrontierHumanitiesLiteraturePhilosophyHistoryLawArchaeologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

This article seeks to articulate the representation of the landscape and its connection with the character of the hero in O guarani, by José de Alencar, the masterpiece of Brazilian Romanticism; in other words, it sseks to articulate space and normativity as essential components of narrative.Since Gaston Bachelard, space has been configured as an important instance for fiction, but only from the analysis of Iuri Lotman and Henri Mitterand it will cease to be accessory, in order to become decisive for the organization of the plot. Lotman coined the notion of frontier, while Mitterand proposed the concept of overcoming frontiers. Both definitions are fundamental to understand the process of constitution of the hero in Alencar´s novel, since Peri will be the only character to move freely through the spaces of the “house” and the “forest”, incorporating values of one and the other. Dialoging with the medieval narratives of Chrétien de Troyes, particularly “Le chevalier au lion” and “Le conte du Graal”, the hero of O guarani breaks, however, with the chivalrous code of honour by adopting treason as a regular procedure. It will be the forest, as the central topos of the medieval imagery (Le Goff), which will provide such a hybrid and ambivalent stature of the hero.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.867
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.220
Teacher spread0.208 · 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
Published2019
Admission routes1
Has abstractyes

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