Control and Public Management Performance in Brazil: Challenges for Coordination
Bibliographic record
Abstract
This study analyzes the multiplicity of organs and control actions as a distinctive characteristic of the Brazilian control system, and the positive effect of the performance of these organs upon the management of federal programs. As shown in international literature, we can also see in Brazil an expansion of the action of control organs, which have started evaluating performance and, therefore, go beyond mere verification of the legality of administrative actions. Nevertheless, the multiplicity and diversity of these organs have meant the appearance of tensions and conflicts in the relationship between controllers and those controlled. Through the analysis of documents and interviews with managers and the controllers of federal government oversight bodies, we conclude that the process of auditing and evaluation leads to the appearance of cooperative practices that improve the administration’s performance, but which themselves need improving.
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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 | 0.024 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".