Calidad de la Educación Superior en México en el Contexto de la Acreditación Internacional
Bibliographic record
Abstract
La disertación presenta el análisis realizado sobre el Sistema de Acreditación Mexicano enmarcado en los procesos de acreditación internacional, con la finalidad de conocer el avance y la forma de cómo se ha llevado a cabo en el país, por medio de identificar a las Instituciones de Educación Superior que han logrado realizar este tipo de evaluación externa; a los organismos acreditadores nacionales que han incluido indicadores con estándares internacionales y la cuantía de programas con reconocimiento internacional. Lo anterior, para valorar si la calidad de la educación superior que se imparte en el país está acorde con los parámetros del contexto mundial. Los resultados evidenciaron que es reducida la proporción de instancias acreditadoras nacionales que están buscando enfrentar el proceso tanto regional o internacional. Aun cuando, el propio sistema educativo está consciente de que se requiere transitar a este modelo en un futuro cercano, dado el mundo globalizado en el que nos encontramos.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.000 |
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".