Relación entre la ejecución de ingresos y la ejecución de inversiones en la Municipalidad Distrital de Belén 2017-2024
Bibliographic record
Abstract
The study is based on enriching the understanding of financial management in local governments, specifically focusing on the association between revenue execution and investment execution in the District Municipality of Belén from the second quarter of 2017 to the third quarter of 2024. Exploring topics such as the public budget, the regulatory framework of public revenues and public investment, this study contributes to the development of theories and models that explain how financial resources are managed in municipalities. The present research is quantitative, correlational level and non-experimental in design with longitudinal data. It was observed that, despite an increasing behavior in the execution of income and the execution of investments in the District Municipality of Belén, no significant relationship was found between them. Otherwise, when disaggregating income and investments by financing sources, it was found that the determined resources represented 79.06% of the income collection, but only 35.67% of the accumulated capital expenses. With respect, it was determined that there is a direct relationship of 37.82% between the execution of income for certain resources and the execution of investments for certain resources in the institution.
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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 | 0.001 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".