Aportes para el estudio de la identidad institucional universitaria: El caso de la UNAM
Bibliographic record
Abstract
El contexto de globalizacion e internacionalizacion aceleradas, experimentado particularmente desde hace dos decadas, ha puesto en la palestra de los estudios sobre la universidad la necesidad de dar explicacion al tipo de causas y condicionantes que estan incidiendo hoy dia, directa e indirectamente, en la conformacion, debilitamiento o reforzamiento de la identidad institucional universitaria, fenomeno al que se hace referencia continuamente pero cuyo estudio presenta limites dado su escaso grado de desarrollo como campo de analisis. Tomando como marco de reflexion el caso de la internacionalizacion de las actividades de la UNAM, asi como la atencion que la misma puede brindar desde su cultura organizacional a las demandas sociales, en este articulo presentamos de forma sintetica una propuesta teorico-conceptual y metodologica, fundada en la perspectiva del nuevo neoinstitucionalismo, que puede servir de base para el estudio de la identidad institucional universitaria
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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 | 0.013 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".