Estimación del gasto tributario en Cuba
Bibliographic record
Abstract
La investigación realizada aborda el tema del gasto tributario desde una perspectiva teórica y se enmarca en la práctica cubana. Se parte de la teoría aportada por diferentes autores que tratan el tema, para sean comprensibles los términos empleados. Experiencia internacionales fuero un punto de partida en el estudio siempre teniendo en cuenta la coyuntura en que cuba se desarrolla, limitantes y desafíos que enfrenta. Se fundamenta la necesidad de estimar dicho gasto y someterlo a controles similares a los que se somete el gasto directo; buscando la mejora en la calidad de la gestión tributaria. Provee al estado las herramientas para la implementación de la propuesta que se ofrece y hacer así más fácil y completo el trabajo que actualmente se realiza. Se emplearon datos experimentales para demostrar la aplicabilidad del método escogido, las pérdidas de riqueza que enfrentan las actas nacionales y analizar si es realmente factible el modo en que hoy el gobierno maneja este tema.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.022 |
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; both teacher heads agree on what is shown here.
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".