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Record W3097144010

Alunos ou pacientes? Um debate acerca da medicalização nos discursos escolares sobre inclusão

2020· article· pt· W3097144010 on OpenAlexvenueno aff
Bruna Carla de Carvalho Amaral

Bibliographic record

VenueINFOR Information Systems and Operational Research · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

O presente artigo investiga a medicalizacao nos discursos escolares, com destaque para as falas sobre inclusao escolar. Em seu percurso, busca tracar os caminhos percorridos pela medicina moderna, desde o surgimento da medicina social, pontuando aspectos que lhe conferiram o poder de normalizar a sociedade, atraves do estabelecimento de regras e parâmetros a serem seguidos. E a medicina quem delimita o normal e o patologico. Atraves dos conceitos e analises de Michel Foucault, procura-se tracar as bases para o entendimento da medicalizacao enquanto tecnologia do biopoder. A instituicao escolar tem acesso aos individuos na infância, cabendo-lhe o papel de governar seus corpos e conduzir os desviantes de modo a aproxima-los da norma. A escola medicalizada reduz questoes de ordem ampla a patologias do corpo culpabilizando o individuo pelo nao-aprendizado, rotulando criancas, banalizando o uso de farmacos e reduzindo o papel do professor.

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)0.010
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0040.008
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.163
GPT teacher head0.443
Teacher spread0.280 · 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 teacher head, not a consensus.

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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