Le comportement de la classe moyenne et le recul de la démocratie au Brésil
Bibliographic record
Abstract
Le texte vise à penser la classe moyenne et son rôle durant les élections présidentielles de 2018 qui ont élu Jair Messias Bolsonaro, du Parti Social Liberal (PSL), au Palais du Planalto. Comme thèse principale, le texte argumente que la classe moyenne n’a pas sa propre identité de classe et, ainsi, prend les références culturelles des classes aisées. En conséquence de cette absence d’idéologie propre, la classe moyenne, comme tentative de se différencier, démontre préjugés contre les classes populaires. Pour comprendre cette question, le texte est divisé en trois moments. Premièrement, une analyse historique de la formation de la classe moyenne est faite ; après, l’émergence de la « nouvelle » classe moyenne est discutée ; dans un troisième moment, la perception de la classe moyenne sur la crise économique globale de 2008 est présentée.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".