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A teoria de Deus e o desafio do niilismo: Hans Jonas a propósito de Nietzsche

2017· article· pt· W2754661674 on OpenAlexaboutno aff
Jelson Roberto de Oliveira

Bibliographic record

Venueethic - An international Journal for Moral Phylosophy · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicNietzsche, Schopenhauer, and Hegel
Canadian institutionsnot available
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Pretende-se, nesse artigo, analisar a interpretação de Hans Jonas do aforismo 125 de A Gaia Ciência, de Nietzsche, tal como ela se apresenta na reflexão desenvolvida nas aulas ministradas por Jonas no Carleton College, de Ottawa, no semestre de inverno de 1952-1953 e guardadas nas anotações (inéditas) intituladas The theory of God, conservadas no Philosophisches Archiv de Hans Jonas, na Universität Konstanz. Para tanto, partimos da análise jonasiana do medo do desconhecido como elemento central nas filosofias de Epicuro e, especialmente, Pascal, para mostrar como Nietzsche aprofunda a reflexão iniciada pelo filósofo de Port-Royal, a fim de demostrar como a intensificação do medo e do sentimento de solidão se apresentariam como possibilidade de enfrentamento do niilismo. Do ponto de vista dos interesses próprios de Jonas, não só estaríamos diante de uma teoria sobre Deus, em sentido estrito, mas de uma reflexão sobre a tecnologia como “vontade de ilimitado poder”, ou seja, como exercício do homem que, sozinho e sem Deus, busca o domínio sobre o mundo.

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)0.002
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.023
Scholarly communication0.0080.006
Open science0.0010.004
Research integrity0.0030.004
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 head0.104
GPT teacher head0.368
Teacher spread0.264 · 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
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

Citations4
Published2017
Admission routes1
Has abstractyes

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