Construcción de memoria histórica en ausencia de recuerdos colectivos: cómo acercarse al pasado a través de la literatura
Bibliographic record
Abstract
El nombre de Leonor Villegas de Magnón, quien renunció a su vida acomodada para participar en los eventos armados de la primera parte del siglo XX y en 1914 fundó la Cruz Blanca Constitucionalista, es más conocido en los Estados Unidos que en México. Con su novela Las rebeldes (2011), Mónica Lavín intenta llenar esta laguna histórica sobre la que el discurso oficial había callado. El texto, basado en la obra autobiográfica de Villegas de Magnón La Rebelde (2004), reevalúa el papel de la mujer en la Revolución Mexicana en ambos lados de la frontera Estados Unidos-México y la transforma de personaje marginado a la protagonista principal de la gesta revolucionaria. En este ensayo se propone un acercamiento a las posibilidades que tiene la literatura para la construcción de nuevos conocimientos sobre el pasado histórico. Las reflexiones se basan en el análisis de la relación entre las dos obras mencionadas con el fin de determinar el papel que tiene la memoria en este proceso.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".