El cuidado de sí: palabra y cuerpo en la formación de profesora/es de Educación Física
Bibliographic record
Abstract
El ensayo problematiza la idea moderna de formación de profesores de educación física referenciada en la noción de cuidado de sí a partir de la elaboración de Michel Foucault. Ese movimiento nos lleva a pensar la relación entre cuerpo y verdad que es constitutiva del modo hegemónico de formación de profesores construida con base en el par pedagogía-profesor(a) y a cuestionar la imposibilidad de la formación del sujeto ético en ese registro en el contexto de una política democrática. Por otro lado, con base en el concepto de cuidado de sí y en el par psicagogía-parresiasta elaboramos algunos principios que nos permiten construir otro modo de formación docente en el campo de la educación física, que tienen como clivaje la constitución del sujeto ético para la vida en común.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".