Bolsonaro, raciste en chef du Ku Klux Klan et des petits blancs du brésil
Bibliographic record
Abstract
Six mois après sa prise de fonction, le gouvernement Bolsonaro est confronté au dégoût d’un certain nombre de ses électeurs. Les preuves du complot pour écarter Lula de la vie politique viennent d’être publiées par The Intercept. Elles encouragent les opposants au gouvernement, mais obligent aussi les institutions discréditées à faire bloc pour ne pas tomber. Cela accroît provisoirement l’impunité dont bénéficie le pouvoir en l’absence d’un front parlementaire capable de porter un projet alternatif. Dans cet article, Jessé Souza souligne le fait que le succès électoral de Bolsonaro repose sur la frustration sociale d’une petite classe moyenne viscéralement raciste à proportion de ce qu’elle ne se distingue que par ses origines européennes des pauvres issus de l’esclavage. Les déclarations les plus excessives de Bolsonaro visent à fédérer cet électorat en répondant à cette demande de distinction par la stigmatisation des adversaires.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.006 |
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".