Marxismo en el presente. Mapa de los conceptos para pensar el cambio
Bibliographic record
Abstract
El ensayo se propone dibujar un mapa, necesariamente parcial, de algunas obras y autores que contribuyen a definir la imagen contemporánea del marxismo y el posmarxismo. Un mapa organizado a partir de palabras clave como capitalismo (David Harvey, Jacques Bidet, Gianfranco La Grassa, Robert Kurz), clase (Domenico Losurdo, Ernesto Laclau, Etienne Balibar), ideología (Slavoj Žižek, Pierre Macherey, Frederic Jameson), diálectica (Roberto Finelli, Costanzo Preve, Antonio Negri), Estado y política (Alain Badiou, Sylvain Lazarus, Chritian Laval, Mario Tronti). Una serie de posiciones muy distintas, a las que los autores proponen algunas problemáticas transversales: la grandeza y los límites del encuentro con el pensamiento post-estructuralista; la dificultad de derivar de la crítica al capitalismo la afirmación de un “nuevo orden”, que sepa dirigirse a sus víctimas; el fin de la unión entre lo que de fértil hay en el marxismo y la cultura de la izquierda posmoderna; la diferencia entre la práctica teórica y las formas del antagonismo en el horizonte neoliberal contemporáneo, con la reaparición de nociones olvidadas demasiado rápidamente como “pueblo”, “nación” o “identidad”.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.004 |
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; both teacher heads agree on what is shown here.
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".