Financial Condition and Government Accounts: An Analysis in the Municipalities of the State of Rio de Janeiro (2009 to 2015)
Bibliographic record
Abstract
This research sought to analyze whether the opinion of government accountability of the municipalities of Rio de Janeiro by the Court of Accounts of the State of Rio de Janeiro (TCE-RJ), in the period from 2009 to 2015, considers the financial condition of these municipalities. The financial condition was measured based on the methodology created by the Canadian Institute Chartered Accountants and adapted to the reality of the Brazilian institutional and regulatory environment. Factor analysis was used to select and group the determinants of municipal financial health and the logistic regression analysis to assess whether the result of the opinion of the municipal accounts by the TCE-RJ considered the municipal financial condition. The results were conclusive in relation to the analysis of the accountability of municipal government accounts considering the financial condition factor that deals with the collection, as well as the opinion of the TCE-RJ indicated that it is related to the technical analysis of external control. It was not possible to conclude whether there is political influence from the governor in issuing the prior opinion of the plenary.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".