¿Un individuo inmoral puede ser un buen docente actualmente?
Bibliographic record
Abstract
La ética, moralmente, precisa cuando una conducta o práctica de las personas es permitida en la sociedad, es decir, estudia lo bueno o malo del comportamiento humano, individual y colectivamente. El objetivo del artículo es interpretar reflexivamente si un individuo inmoral es un buen docente, actualmente. El perfil ético del docente de primaria y secundaria es percibido bajo el lente moralista pretérito de la Iglesia, que sacralizaba el sufrimiento y sometimiento. Esta investigación es de corte cualitativa, sustentada en la etnometodología. Los resultados de la discusión sobre el docente actual, afín a la ética, moral o inmoral en su actuación, derivaron del análisis reflexivo de variables tales como: antecedentes, lenguaje, deontología, globalización - tecnología y categorías de un buen docente. Estos permitieron la elaboración de un decálogo con normas éticas y morales; asimismo, permitieron llegar a la conclusión de que, un individuo inmoral no puede ser un buen docente, debido a que sus acciones son inmorales.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".