álisis de los procesos privatizadores de empresas públicas en el ámbito internacional. Motivaciones:: moda política versus necesidad económica
Bibliographic record
Abstract
Desde la decada de los ochenta las privatizaciones y las desregulaciones de empresas publicas se han erigido como instrumentos fundamentales de politica economica utilizados por los gobiernos de multitud de paises, que estan inmersos en una realidad mundial profundamente afectada por el fenomeno de la globalizacion. En este trabajo se evaluaran los rasgos mas destacados de la experiencia internacional. Para ello, se analiza como se ha llevado a cabo el proceso privatizador: que objetivos lo han promovido, a traves de que metodos se ha realizado, como ha afectado a cada uno de los agentes que han participado en el proceso, asi como sus resultados. De esa forma se puede establecer conclusiones sobre lo realizado hasta el momento, destacando sus ventajas e inconvenientes
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".