“Las competencias como factor clave de éxitoen la Gobernanza y la gestión Directiva de las Instituciones de Educación Superior México-Quebec” VIII Congreso Iberoamericano de Investigación sobre Gobernanza Universitaria
Bibliographic record
Abstract
Este documento presenta los resultados de la primera etapa de nuestro proyecto de investigación sobre competencias, durante el cual recogimos las opiniones y reflexiones de un grupo significativo de gerentes de educación superior mexicanos sobre las competencias que consideran esenciales para el desempeño de sus funciones. El reporte consta de cuatro secciones: La primera consiste en una breve descripción de conceptos clave que nos permitieron introducir a las discusiones a los miembros del Grupo focal. La segunda sección trata sobre la organización del grupo focal la organizaci;on y operación de la misma , mientras que la tercera sección, presenta de manera sistemática los resultados de las discusiones que tuvieron lugar durante el encuentro asi como los hallazgos realcionados con el ejercicio del grupo que resultan relevantes para para el proyecto de investigación global
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".