Bibliographic record
Abstract
El movimiento 15-M en España ha supuesto un impacto tan grande como inesperado en la vida política española, suscitando simpatías amplísimas y transversales, condicionando la agenda política e introduciendo en ella cuestiones antes secundarias en el mejor de los casos, y transformando desde el uso del espacio público urbano hasta no pocos elementos de la cultura política española. En este artículo se defiende que una buena parte de esta capacidad política del 15-M se debe a su discurso, caracterizado por interpelaciones amplias, ambivalentes y dicotómicas. A partir de las categorías neogramscianas de la Discourse Theory o Teoría del Discurso, se analiza el discurso de los “indignados” y se defiende la presencia de importantes rasgos populistas en el mismo. La deconstrucción de la narrativa del 15-M permite entender así tanto sus principales virtudes para la movilización política como sus dificultades políticas. The 15-M movement has had a huge an unexpected impact on Spanish political life, generating broad and transversal sympathies, conditioning and introducing new items on political agenda, and transforming the use and meaning of public space. This paper argues that a significant part of the 15-M political capacity relies on its discourse, characterized by broad, ambivalent and dichotomist interpellations. Using neogramscian categories from the Discourse Theory, the “indignados” discourse is analyzed, so to defend the presence of important populist features on it. The deconstruction of the 15-M narrative facilitates an understanding of its main virtues for political mobilization as well as its potential limits for its future development.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".