Políticas públicas para los músicos en el Ecuador : una propuesta a partir de la experiencia de Paraguay, Argentina y Canadá.
Bibliographic record
Abstract
La presente Tesis tiene como objetivo principal determinar cuales son los factores que influyen en la existencia de una jubilacion justa para los musicos, comparando la legislacion aplicada en el Ecuador con las propuestas implementadas en Argentina, Canada y Paraguay. El analisis de los mencionados factores en conjuncion con la teoria del Public Choice determinaron las opciones que tiene una propuesta de jubilacion de los musicos de convertirse en ley publica. El retiro de los artistas se ha considerado un tema polemico dentro de las sociedades; dentro de las artes, la musica es la actividad mas vulnerable de copia y reproduccion, esta violacion de derechos de autor se hace posible a traves del uso de la tecnologia misma que como se determino en este analisis, causa dificultades economicas a los musicos quienes han perdido el interes de grabar sus canciones por sus altos costos y facilidad de reproduccion ilegal.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".