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Record W7120764327

Neoliberal rationality and subjectivity of the neo-subject in education

2023· article· pt· W7120764327 on OpenAlexaboutno aff
Carlos Betlinski, Juliana da Silva Lopes Kaloczi

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicGender, Sexuality, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsRationalitySubjectivitySubject (documents)Neoliberalism (international relations)SubjectificationEthnographyMichel foucaultPower (physics)Qualitative research
DOInot available

Abstract

fetched live from OpenAlex

O presente artigo é resultado de pesquisa qualitativa sobre o tema da racionalidade neoliberal na educação. As obras bibliográficas A nova razão do mundo: ensaio sobre a sociedade neoliberal de Christian Laval e Pierre Dardot (2016) e A hermenêutica do sujeito de Michel Foucault (2004) permitiram responder ao seguinte problema investigativo: que fundamentos a racionalidade neoliberal propõe para a constituição de neossujeitos no contexto da educação escolar?Os objetivos propostos foram a caracterização de um novo modelo de sujeito criado a partir do surgimento da corrente político-econômica conhecida como neoliberal e a identificação de comportamentos e atitudes desse neossujeito no interior da instituição educacional que se configura como empresa. Concluiu-se que a educação escolar vem sendo orientada por essa nova racionalidade que adota dispositivos e mecanismos direcionados para a subjetivação dos neossujeitos de acordo com as perspectivas do totalitarismo de mercado.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0030.029
Scholarly communication0.0100.006
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.043
GPT teacher head0.305
Teacher spread0.262 · 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 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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