INSUMOS PARA O APERFEIÇOAMENTO DOS MECANISMOS DE CONTROLE E PROMOÇÃO DA INTEGRIDADE PÚBLICA NOS GOVERNOS FEDERAIS DO BRASIL E CANADÁ.
Bibliographic record
Abstract
Os esforços governamentais para o combate à infração disciplinar envolvendo servidores públicos é objeto de atenção das administrações públicas em âmbito mundial. Trata-se igualmente de um dos mais contemporâneos temas de estudo entre diversos segmentos das ciências sociais. No Brasil e no Canadá, o interesse pelo assunto reflete o estágio atual da administração pública, que se manifesta cada vez mais preocupada com a eficiência, eficácia e integridade de seus servidores frente aos novos desafios gerenciais e à crescente demanda da sociedade quanto à necessária transparência das ações governamentais e ao bom desempenho dos servidores públicos. Sobre o tema, diversos progressos foram registrados nos últimos anos, podendo-se citar como exemplos o fortalecimento dos órgãos setoriais de controle interno e a consolidação de sistemas de correição vinculando diversos órgãos da administração pública, bem como a introdução e fortalecimento de iniciativas preventivas e a reformulação da legislação. Nesse contexto, o objetivo do presente estudo é fazer uma abordagem crítica e comparativa sobre como o Brasil e o Canadá atuam para promover a integridade de seus servidores públicos e como as iniciativas de cada nação podem ser combinadas de modo a propiciar melhorias nos sistemas de gestão da integridade em ambos os países. O trabalho é resultado de um estudo realizado entre os anos de 2006 e 2007, fundamentado em dados coletados no Brasil e no Canadá. Trata-se de uma pesquisa qualitativa, na qual se buscou estudar um fenômeno complexo e sistematizar conhecimentos adquiridos no curso do trabalho. Abstract: The efforts turned to deal with the wrongdoing practices involving public servants have been source of concern in global scale and figures out as one of the most contemporaneous research subject in the social sciences. In Brazil and in Canada the interest about the subject reflects the current trends in the Public Administration that try to improve its efficiency and efficacy of its employees and, at the same time, answer the increase awareness of the citizens. In the last years many progress about the subject has been observed. Some examples are the strengthening of internal control mechanisms, the arising of national system of integrity promotion and the introduction of measures concerning preventive initiatives and the reform of the legal framework. Into this context, the objective of the present paper is to make a critical and comparative approach about how Brazil and Canada promote the integrity of their public servants and how the successful initiatives can be combined to allow improvements in the integrity system of both countries. In the present paper the competencies and limitations of each country in dealing with the wrongdoing practices are confronted aiming as ultimate objective to contribute to the integrity management.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".