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Record W3126920579 · doi:10.4025/bolgeogr.v38i2.42847

FORÇAS EM LUTA: BACHELARD E NIETZSCHE NA GEOGRAFIA DE ÉRIC DARDEL

2020· article· pt· W3126920579 on OpenAlexaff
David Emanuel Madeira Davim, Eduardo Marandola

Bibliographic record

VenueBoletim de Geografia · 2020
Typearticle
Languagept
FieldArts and Humanities
TopicCultural, Media, and Literary Studies
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsPhilosophyHumanities

Abstract

fetched live from OpenAlex

Desde a publicação, em 2011, da tradução de O Homem e a Terra: natureza da realidade geográfica, escrita pelo geógrafo francês Éric Dardel, o livro recebeu uma rápida difusão na comunidade geográfica. Uma das mais excitantes questões abertas para investigação é a multiplicidade de influências filosóficas que compõe a geografia dardeliana. O argumento defendido neste texto é que sua geografia fenomenológico-existencial, reconhecidamente de inspiração heideggeriana, também sofreu fortes influências da fenomenologia da imaginação de Gaston Bachelard. Além disso, sustenta-se que o princípio das “forças em luta”, o qual caracteriza o dinamismo da realidade geográfica de Dardel, advém de noções fundamentais da filosofia de Friedrich W. Nietzsche, via Bachelard. No esforço interpretativo expresso neste trabalho, o encontro entre Dardel e Nietzsche se estabeleceu, indiretamente, via os sentidos de terra e de vontade de potência. O objetivo deste artigo é perseguir essas pistas e nexos, buscando enriquecer as leituras contemporâneas e as aberturas oferecidas pela geografia dardeliana.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.032
GPT teacher head0.231
Teacher spread0.199 · 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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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