Des bruits et des fureurs: un regard anthropologique (éloigné) sur l' insurrection civile d' Oaxaca (2006)
Bibliographic record
Abstract
Como fuente de este art?culo, se encuentra en primer lugar el malestar que sent? en M?xico a finales de julio de 2006. Me alojaba en la vasta zona alrededor del Z?calo ocupada por los partidarios de Andr?s Manuel L?pez Obrador, del Parti do de la Revoluci?n Democr?tica (PRD, de centro izquierda), quien rechazaba admitir la apretada victoria de Felipe Calder?n (Partido de Acci?n Nacional, PAN, de derechas) en las elecciones presidenciales. En La Jornada, al lado de gran des titulares consagrados al discutido resultado electoral, tambi?n se le?a la cr? nica de otro conflicto, m?s restringido pero m?s violento, seg?n parec?a, que opo n?a a un sindicato regional de maestros y mucha m?s gente al gobernador de Oaxaca, Ulises Ruiz. Lo que m?s me llamaba la atenci?n era la ausencia de rela ci?n entre estas luchas: ni L?pez Obrador ni el m?tico subcomandante Marcos, que volv?a a actuar tras a?os de silencio, evocaban el conflicto de Oaxaca, que sin embargo movilizaba miles de personas y hab?a conseguido paralizar el coraz?n de la capital del gran estado del sur. ?Por qu? el movimiento popular de Oaxaca no consegu?a hacerse o?r m?s all? del contexto regional?
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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 | 0.011 | 0.016 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".