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Record W2983730622

El yo transontologico: la respuesta de nishitani keiji a la subjetividad cartesiana

2019· dissertation· es· W2983730622 on OpenAlexaboutno aff
Amanda Sayonara Fernandes Prazeres, Amanda Sayonara

Bibliographic record

VenueTDX (Tesis Doctorals en Xarxa) · 2019
Typedissertation
Languagees
FieldSocial Sciences
TopicPhilosophical Thought and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

La presente tesis se propone analizar la relevancia de la crítica de Nishitani Keiji (1900-1990) a la concepción de res cogitans defendida por René Descartes (1596-1650). Aunque en la historia de la filosofía diversos pensadores hayan expuesto, desde distintos puntos de vista, los problemas relativos al modelo de subjetividad cartesiana, se pretende demostrar en qué medida la propuesta racionalista moderna todavía es un problema por superar. Para ello es imperativo comprobar hasta qué punto el análisis crítico de Nishitani del concepto cartesiano es acertado. Además, sostenemos que la propuesta existencial y religiosa nishitaniana de superación de la perspectiva de subjetividad moderna significa una crítica a la noción de sustancia. De modo que se pretende comprobar que el problema de la subjetividad en Nishitani no es abordado como una discusión meramente epistemológica, sino que la realización del yo auténtico es una cuestión ontológica, que desafía las bases de la filosofía europea.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0050.024
Scholarly communication0.0070.008
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.027
GPT teacher head0.368
Teacher spread0.341 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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