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Filosofía, intertextualidad y postmodernismo: la influencia de Friedrich Nietzsche en la obra novelística y en la ensayística de Juan Benet

2014· article· es· W2103702168 on OpenAlexaff
Jorge Machín Lucas

Bibliographic record

VenueTropelías/Tropelías · 2014
Typearticle
Languagees
FieldArts and Humanities
TopicSpanish Culture and Identity
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

En la obra novelística y ensayística de Juan Benet se puede detectar numerosas intertextualidades del filósofo alemán Friedrich Nietzsche que no han sido todavía adecuadamente investigadas. Entre los temas nietzscheanos que penetran la obra de Benet, los más importantes son la defensa del irracionalismo como vía de conocimiento que ayuda a explicar mejor la naturaleza de lo real, la oposición a sistemas epistemológicos cerrados, la defensa del fragmentarismo, del nihilismo, del fatalismo, el sentido de lo trágico que está presente en sus obras y en sus personajes, la dialéctica entre apolíneos y dionisiacos, el eterno retorno, la parodia del superhombre, la presencia de un sujeto descentrado por la fatalidad y por la ruina, la voluntad de poder durante la Guerra Civil española, y la preponderancia del estilo sobre el argumento. Se ofrecerán numerosos ejemplos desde su obra regionata y desde su ensayo. In the novelistic and essayistic works of Juan Benet, one can detect numerous intertextualities of the German philosopher Friedrich Nietzsche that have not yet been adequately researched. Among the Nietzschean themes in Benet, the most important are the defence of irrationalism as a way of knowledge that better explains the real, the opposition to closed epistemological systems, the defence of fragmentarism, nihilism, fatalism, the sense of tragedy that is present in his works and in his characters, the dialectic of the Apollonian and the Dionysian, the eternal return, the parody of the Superman, the presence of a subject decentered by fatality and ruin, the will to power during the Spanish Civil War, and the preponderance of style over plot. I will give many examples from Benet’s novels, above all those about Región, and from his essays.

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)0.003
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 score0.007
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.020
Scholarly communication0.0040.004
Open science0.0000.003
Research integrity0.0010.002
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 head0.009
GPT teacher head0.249
Teacher spread0.241 · 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".

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Citations0
Published2014
Admission routes1
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