Estrategia de recaudación tributaria para incrementar el nivel de cobranza en la Municipalidad Provincial de Cutervo
Bibliographic record
Abstract
La presente investigación denominada “Estrategia de Recaudación Tributaria para Incrementar el Nivel de Cobranza en la Municipalidad Provincial de Cutervo, tiene como objetivo general proponer un plan estratégico para los ingresos recaudados por la municipalidad Provincial de Cutervo. Se ha efectuado el trabajo de investigación, con el fin de brindar herramientas que ayuden a mejorar los niveles de cobranza, dando una mejora continúa en gestión de la recaudación tributaria municipal y alcanzar el progreso económico de la Población de Cutervo. Esta investigación es\tdescriptivo, propositivo.\tYa\tque\tdescribe\tlas características y funciones de la recaudación tributaria. En esta investigación utilizaremos el muestreo intencional o de conveniencia por utilizar como muestra los individuos a los que se tiene fácil acceso. Se empleará la técnica de la entrevista, que se le aplicará al jefe del Área de Recaudación y la otra técnica análisis de datos, que se le aplicará a los trabajadores del área de recaudación y a la población de la muestra seleccionada.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".