Bibliographic record
Abstract
Esse dossiê surgiu da preocupação com a conjuntura política e religiosa contemporânea marcada pelo recrudescimento internacional da direita e da extrema-direita em várias democracias ocidentais. Em recentes eleições europeias vêm se destacando políticos e partidos à direita, como na Itália, Holanda, Hungria, Polônia e Turquia. Mesmo não tendo sido eleita em alguns países, a extrema-direita obteve um bom desempenho nas urnas, como na França, onde o Partido Socialista praticamente colapsou. No Reino Unido, a saída da União Europeia (o Brexit) foi, entre outras questões, um fechamento protecionista contra a chegada indesejada de imigrantes europeus e não-europeus. Nos Estados Unidos, Donald Trump foi eleito com seu discurso antiglobalista e neoconservador de feições fascistas e autoritárias. Em suma, diversas análises concordam quanto ao endurecimento dos regimes políticos escolhidos via procedimentos democráticos.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".