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Record W7120769522

Neoliberalism, psychology and contemporary art: the powers of failure

2024· dissertation· pt· W7120769522 on OpenAlexaboutno aff
Igor Gonçalves de [UNESP] Matos

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2024
Typedissertation
Languagept
FieldArts and Humanities
TopicArts and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Context (archaeology)RationalityFocus (optics)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

A racionalidade neoliberal, conforme a definiu Foucault (2010), cria dispositivos que propõem que os sujeitos estabeleçam uma relação consigo mesmos na qual a sua ética deve ser entrelaçada com a ética da empresa. É somente através do entrelaçamento entre a força produtiva do sujeito, não somente por coerção, mas na atualidade através da estimulação, e o aumento do capital das empresas, que o sujeito pode fazer parte do tecido social. Aqueles que não se adequam a essa racionalidade, são tidos como fracassados e são minadas suas possibilidades de ação. Seu fracasso acaba se tornando o esgotamento de suas possibilidades de interferir na realidade. Essa pesquisa se encontra nos entrelaçamentos entre a psicologia e a arte. O objetivo geral da pesquisa foi analisar, utilizando da ferramenta da genealogia foucaultiana, a emergência e a proveniência do neoliberalismo e problematizar a ativação de potências do fracasso instauradas pela arte contemporânea. Para tanto, nos utilizamos de autores como Foucault, Deleuze, Guattari, Dardot e Laval, Safatle, Wendy Brown, Lazzarato, Byung-Chul Han, Silvio Almeida, Suely Rolnik, além de Halberstam, Andrade e outros. Além disso, buscamos analisar genealogicamente obras de arte contemporânea nas quais a experimentação artística coloca em cena as fissuras instaladas pela prática do fracasso enquanto potência inventiva e resistência às lógicas neoliberais, especificamente através dos trabalhos de Tracey Moffatt, Victor de la Roque e John Baldessari.

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)0.004
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 score0.012
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.065
Scholarly communication0.0120.009
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.029
GPT teacher head0.268
Teacher spread0.238 · 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
Published2024
Admission routes1
Has abstractyes

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