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SIMBOLOGIAS MEDIEVAIS N’A PEDRA DO REINO

2016· article· pt· W2535446229 on OpenAlexaff
Cintya Kelly Barroso Oliveira

Bibliographic record

VenueLetras Escreve · 2016
Typearticle
Languagept
FieldArts and Humanities
TopicLiterature, Culture, and Criticism
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophyArtPhysics

Abstract

fetched live from OpenAlex

O Romance d’a Pedra do Reino e o Príncipe do Sangue do Vai-e-Volta, livro de Ariano Suassuna, é o corpus deste trabalho. A fim de buscar entendimento da simbologia risível da narrativa, a investigação se pauta nas vertentes temáticas da tradição religiosa e da profana decorrentes do medievo. No trabalho nos propomos a apresentar algumas aproximações entre a cultura brasileira contemporânea e a Idade Média, verificando, especificamente, os resíduos, ou melhor, o que restou, permaneceu no romance, do imaginário mediévico. O método de investigação é o proporcionado pela Teoria da Residualidade, de Roberto Pontes, que tem como premissa estudar os resíduos de um passado próximo ou distante, os quais permanecem de um tempo em outro numa narrativa ou cultura. Segundo os pressupostos dessa teoria, os indicadores culturais estão presentes na mentalidade de uma sociedade sob forma cristalizada, e decorrem da hibridação cultural havida entre o Brasil e os demais povos.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.017
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.026
GPT teacher head0.241
Teacher spread0.214 · 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 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
Published2016
Admission routes1
Has abstractyes

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