IPSAS: Which Stage Is the Brazilian Public Sector Accounting In?
Bibliographic record
Abstract
This article aims to contribute to the visibility of the development process of Government Accounting systems in Latin America, especially Brazil’s case. Based on analysis of the period between 2008 and 2018, it concludes that Law 4,320/1964 needs to be updated; the Brazilian Public Sector Technical Accounting Standards (NBC TSP) represent the IPSAS in Brazil (translated and adjusted to local reality); the implementation of the Full IPSAS was applied to all Brazilian federation entities (Central Government, 26 States, Federal District and 5,570 Municipalities); the Handbook of Accounting Applied to the Public Sector (MCASP) is the main IPSAS guide; and, finally, the greatest difficulties faced by public accountants and managers are the lack of public workers, technology and training. Among the 60 master’s dissertations carried out by the PPGCCs focusing on the area of public accounting, only 14% addressed topics related to public accounting.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".