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Record W2513711179

La metaficción historiográfica en El país de la canela, de William Ospina

2015· article· es· W2513711179 on OpenAlexaboutno aff
M. A. Lama Hernández, Pedro Nelson

Bibliographic record

VenueContexto: revista anual de estudios literarios · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicLiterature, Culture, and Aesthetics
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyNarrativeMeaning (existential)LiteratureOrder (exchange)HistoryPerspective (graphical)PoliticsArtArt historyPhilosophyEpistemologyLawArchaeologyVisual arts
DOInot available

Abstract

fetched live from OpenAlex

El artículo introduce un análisis crítico de la novela El País de la Canela (2008) desde la teoría de Linda Hutcheon, con el objeto de situar la narrativa de William Ospina en la nueva parodia literaria y cuestionar la historia oficial. Esta aproximación hermenéutica pretende reivindicar la propuesta estética del autor, en su ejercicio literario, para la comprensión de la veracidad de la historia en la perspectiva de las voces marginadas, por ello la importancia de la reescritura intertextual desde la mirada del otro, el mestizo, de la historia del vencido como una forma diferente de la literatura postoficial. En este sentido, se realizará un análisis desde las características propias de la metaficción historiográfica, de la investigadora canadiense, incluyendo la parodia política y la ficcionalización, tendencia teórica que permite reinterpretar el pasado en un horizonte de sentido al presente.

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)0.003
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 score0.148
Threshold uncertainty score0.295

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.013
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.308
Teacher spread0.279 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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