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Neoliberalismo e mercado místico: o “Despertar” mobiliza o discurso autoempreendedor

2023· article· pt· W4392144638 on OpenAlexaboutno aff
Paula Telles de Menezes Faro, Bruna Luiza de Camillo Allegretti

Bibliographic record

VenueLumina · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicSocial and Economic Solidarity
Canadian institutionsnot available
FundersUniversidade Federal de Juiz de Fora
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artigo investiga as aproximações entre o discurso da espiritualidade mística, centrado no significante “despertar”, e o discurso neoliberal, que tece a imagem do “empreendedor de si”. Partindo das críticas ao neoliberalismo de Safatle (2019; 2021), Brown (2019), Dardot e Laval (2016) e Fontenelle (2005; 2017; 2021), e dos estudos de Arjana (2020) sobre o mercado místico, trabalhamos com a hipótese de que o movimento de desenvolvimento pessoal e de investimento em um “capital espiritual” faz parte da racionalidade do “eu empresa” e de sua lógica de autorregulação e autoaperfeiçoamento. Consequência da perda de perspectiva e da insegurança social gerados pelo próprio sistema capitalista, o misticismo moderno, ao buscar uma saída ao sofrimento, acaba por reforçar sua lógica, alimentando o consumo de produtos, de serviços, de um estilo vida e uma identidade espiritualizados. Como metodologia de análise, além da revisão bibliográfica citada, utilizaremos a Teoria do Discurso de Laclau e Mouffe (2015). Como caso concreto, analisaremos como o “Despertar” aparece no discurso vinculado a Sri Prem Baba, guru brasileiro que ficou conhecido por seu método de autoconhecimento chamado de “o caminho do coração” e que foi alvo, em 2018, de denúncias de assédio sexual, abuso de poder e enriquecimento às custas das doações de praticantes.

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, 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 score0.185
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.009

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 head0.076
GPT teacher head0.346
Teacher spread0.270 · 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
Published2023
Admission routes1
Has abstractyes

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