Confiance, violence et politique: quelques repères historiques et théoriques
Bibliographic record
Abstract
O fenômeno social da violência tem suas raízes das relações estreitas entre os indivíduos e a sociedade, entre a dinâmica psíquica e as relações sociais. O estabelecimento de uma atitude de confiança em relação ao outro, mas também em relação às instituições sociais e políticas, é um fator determinante. É necessário, inicialmente, definir bem a noção de violência e suas diversas formas para, em seguida, demonstrar o contexto sócio-histórico desse fenômeno a partir dos autores que tentaram explicar seus fundamentos, seja da psicologia (Freud, por exemplo), ou da filosofia e da sociologia (Hobbes, Rousseau, Enriquez). Os trabalhos de Jan Philipp Reemtsma nos oferecem, sobre o assunto, um guia importante para situar a crise atual de confiança nas sociedades contemporâneas e o avanço correspondente de novas formas de violência. Nós concluímos chamando atenção para o papel principal de pesquisadores e daqueles que fazem a intervenção em ciências humanas, de reconstrução do vínculo social fundado na confiança.
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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.093 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".