Nuevo gerencialismo y educación. Las metáforas del discurso empresarial en blogs para educadores
Bibliographic record
Abstract
Este trabajo propone explorar la interacción entre dos campos discursivos: el del gerencialismo y el de la educación. Partimos de la idea de que, en el contexto actual, las huellas del discurso empresarial pueden ser identificadas en el discurso educativo. En esta investigación examinaremos, desde la perspectiva del Análisis Crítico del Discurso (Fairclough, 2009; Rogers, 2009; van Dijk, 1999), las formas que asume el discurso de educadores que escriben textos públicos. A partir de un corpus de textos recogidos en blogs educativos, identificamos y analizamos las metáforas utilizadas para dar cuenta de la relación entre ambos discursos. Partimos del supuesto de que dichas metáforas se articulan en el marco del discurso nuevo gerencialismo (Alonso y Fernández-Rodríguez, 2013; Boltanski y Chiapello, 2002; Laval y Dardot, 2013) y ponen en evidencia una colonización discursiva del ámbito de la economía al de la educación.
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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 | 0.008 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".