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Record W2481597544 · doi:10.18192/rceh.v40i1.1605

Construcción de memoria histórica en ausencia de recuerdos colectivos: cómo acercarse al pasado a través de la literatura

2015· article· es· W2481597544 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2015
Typearticle
Languagees
FieldPsychology
TopicMemory, violence, and history
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.291
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it