Dação em Pagamento do Único Bem Imóvel Familiar para a Quitação de Dívida Tributária Própria
Bibliographic record
Abstract
Resumo A dação em pagamento constitui uma das modalidades de exclusão do crédito tributário. Contudo, levando em consideração as várias formas de dar fim ao crédito tributário, dedicar-se a compreender melhor uma delas possibilita aos demais operadores do Direito maior domínio sobre as questões que envolvem a temática. Portanto, o objetivo do presente artigo é responder indagações como: existem limites para o poder de tributar? Qual o papel do Estado na regulamentação das ações de cunho tributário? Questionamentos dessa natureza, bem como outros que possam surgir, serão respondidos ao longo do trabalho, sem, contudo, findar as discussões envolvendo o assunto. Palavras-chave: Tributo. Exclusão. Propriedade. Abstract The donation in payment is one of the many ways to exclusion from the tax credit. However, considering that there are other possibilities to end the tax credit it is so important dedicating ourselves to better understand one of them. This article may allows other Law defenders truly get the meaning of the issues surrounding the theme. Therefore, the purpose of this study is to answer questions such as: are there limits to the power to tax? What is the role of the State in the regulation of tax actions? Questions of this nature, as well as others that may arise, will be answered throughout the development, without, however, ending the discussions involving the subject. Keywords: Tribute. Exclusion. Property.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.049 | 0.008 |
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".