Comprender al maestro: retos para la educación y la formación de formadores Alejandro Labrador Mancilla 1
Bibliographic record
Abstract
espanolEl articulo comprende las practicas pedagogicas del maestro como registros de un saber hacer y un saber ser, construidos a partir de dinamicas de tension coyunturales entre la realidad y la historia. El conocimiento que emerge contribuye a la discusion alrededor de las condiciones en la comprension del maestro, que se presenta como reconocimiento de si y de las condiciones para el desarrollo de la practica; y a establecer los desafios en el desempeno de la profesion, los cuales surgen al reconocer las condiciones propias del ser y del hacer, en el marco de la realidad sociocultural que lo involucra. Todo ello tiene como fin el desarrollo de un terreno fertil para la transformacion y dignificacion del ser y el hacer del maestro, en cuanto comprension de la practica, del saber y de la responsabilidad etica y politica que le es inherente. EnglishThe article includes the pedagogical practices of the teacher as records of a know-how and a know-how to be constructed from conjunctural tension dynamics between reality and history. The knowledge that emerges contributes to the discussion about the conditions in the teacher’s understanding, which is presented as recognition of oneself and of the conditions for the development of the practice; and to establish the challenges in the performance of the profession, which arise when recognizing the conditions of being and doing, within the framework of the socio-cultural reality that involves it. All of this is aimed at the development of a fertile ground for the transformation and dignification of the being and the work of the teacher, as an understanding of the practice, of the knowledge and of the ethical and political responsibility that is inherent to him.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".