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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 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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.010

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; both teacher heads agree on what is shown here.

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
Has abstractyes

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