Bibliographic record
Abstract
Nouvelle edition entierement revue et augmentee. Apparue a Berlin-Ouest au debut des annees 1980, frequemment employee apres le Sommet de l'OMC a Seattle en 1999, la tactique du black bloc connait un nouvel essor depuis 2010. Des black blocs ont pris la rue lors des manifestations contre le G20 a Toronto, lors du Printemps arabe, pendant le mouvement Occupy et celui des Indignes, lors des recentes greves etudiantes au Quebec, de la campagne contre la vie chere au Bresil, etc. Cagoules, vetus de noir et s'attaquant souvent aux symboles du capitalisme et de l'Etat, les black blocs sont presentes par les voix dominantes au mieux comme des « casseurs » apolitiques s'adonnant a la destruction par pure jouissance du chaos, au pire comme de dangereux « terroristes ». Ce livre, paru pour la premiere fois en 2003 et dont la presente edition offre une mise a jour, sera utile a qui veut comprendre l'origine de ce phenomene, sa dynamique et ses objectifs. Alliant observations de terrain, entretiens avec des militants et reflexion ethique et politique, Francis Dupuis-Deri inscrit les black blocs dans la tradition anarchiste de l'action directe.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 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".