Bibliographic record
Abstract
A atual situação do Brasil nos força a refletirmos acerca dos acontecimentos da cena política, no momento em que fatos históricos importantes encontram-se ainda no seu processo de excecução e desdobramento. Refiro-me aqui à malfadada tentativa de Golpe de Estado, perpetrada no dia 8 de janeiro de 2023. Em nosso entender, vivenciamos aqueles momentos que entrarão para a história e serão analisados e debatidos pelas gerações futuras. Eventos que bem poderiam fazer parte dos filmes de ficção mais distópicos, dadas as excentricidades da cena política de nosso país ao longo dos últimos anos. Delimitaremos nossa análise desde o Golpe Político Jurídico que apeou do poder a Presidenta Dilma Roussef em 2016, até a malfadada tentativa de Golpe ocorrida em 8 de janeiro de 2023. Serviremo-nos fundamentalmente de três livros: “Os inimigos íntimos da democracia” do filósofo búlgaro, radicado na França, Tzvetan Todorov, traduzido em 2012, e “Golpe de Estado: história de uma ideia” do filósofo e Newton Bignotto, de 2021. Averiguaremos, ainda, “Le choix de la guerre civile: une autre histoire du néolibéralisme” organizado pelos membros do Grupo transdisciplinar de estudos do neoliberalismo e suas alternativas, Pierre Dardot, Haud Guéguen, Cristian Laval e Pierre Sauvêtre, publicado no Québec, em 2021.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.029 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".