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José Manuel González Álvarez. <i>En los “bordes fluidos.” Formas híbridas y autoficción en la escritura de Ricardo Piglia</i>

2012· article· es· W2039942116 on OpenAlexaff
Rita De Grandis

Bibliographic record

VenueRevista Iberoamericana · 2012
Typearticle
Languagees
FieldArts and Humanities
TopicComparative Literary Analysis and Criticism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

de Vaca, Miguel de Cervantes, Joo Carvalho Mascarenhas, y el Inca Garcilaso de la Vega. Este captulo enmarca el libro y sirve de ejemplo del modelo de lectura adoptado por Voigt que combina el anlisis de textos de autores europeos y criollos en escenarios tan diversos como frica del Norte, Turqua, Brasil, la Florida y Per. Voigt emplea un modelo intercultural que permite comparar, de manera novedosa, textos escritos en lenguas diferentes, poniendo de manifi esto las complejas relaciones entre las distintas tradiciones culturales hispnicas, portuguesas y britnicas. En el segundo captulo estudia La Florida del Inca Garcilaso de la Vega y su conexin con otros textos como el poema pico Mexicana de Gabriel Lobo Lasso de la Vega, el Quijote de Miguel de Cervantes y las Memorias de Hernando de Escalante Fontaneda que exponen las tcnicas del dilogo intercultural garcilasiano. En este captulo llama la atencin el sofi sticado estudio intertextual entre la obra de Garcilaso y la del portugus Fidalgo d'Elvas, Relaam verdadeira Basada en las estrechas relaciones que existen entre ambas narraciones, Voigt propone una interpretacin entre cautiverio, escritura y exilio en La Florida que concentra la atencin en la importancia de este modelo epistemolgico en toda la obra del Inca Garcilaso. En el captulo tercero ofrece una nueva interpretacin del Cautiverio feliz y razn individual de las guerras dilatadas

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), Scholarly communication, 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 score0.923
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.271
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
Published2012
Admission routes1
Has abstractyes

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