Alunos ou pacientes? Um debate acerca da medicalização nos discursos escolares sobre inclusão
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".