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Record W2296277277 · doi:10.22456/2236-3254.46288

DA BIOPOLÍTICA AO BIOGRAMA OU COMO LENI RIENFENSTAHL MOVE-SE MOVE-SE ATRAVÉS DO FASCISMO

2014· article· pt· W2296277277 on OpenAlexaff
Erin Manning

Bibliographic record

VenueCena · 2014
Typearticle
Languagept
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Publicado originalmente no livro Relationscapes, movement, art, philosophy (M.I.T University Press, 2009), o artigo é uma versão reduzida do capítulo em que a autora Erin Manning discute a polêmica junção entre produção estética e ideologias políticas. Na celebração dos vinte anos do tribunal de Nüremberg e com a recente biografia fílmica de Hannah Arendt, o tema volta à tona, quando observamos movimentos ressurgentes de controle das manifestações estéticas. Manning discute o brilhantismo de Riefenstahl a partir de uma cuidadosa análise de Olympia, considerando os movimentos de câmara como estratégia de invenção do corpo em si, tecendo uma especulação sobre as ideologias contidas nos gestos retratados e inventados em cena. Os argumentos desviam-se das acusações políticas recorrentes para alcançar a obra de Riefenstahl como representativa na discussão sobre o limite das aparências e o transcendentalismo físico no cinema. Em um movimento teórico único, a produção da cineasta é comparada ao de seus contemporâneos do movimento futurista.

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)0.005
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 score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.028
Scholarly communication0.0130.014
Open science0.0010.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0150.004

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 head0.057
GPT teacher head0.387
Teacher spread0.330 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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