Social speech on women in the Bimestre Cubana Magazine (1910-1923)
Bibliographic record
Abstract
Nowadays, the study of the first half of the 20th century from serial publications is becoming more and more frequent, with the aim of reconstructing periods and processes that allow the preservation of historical memory. For this interpretation of the past, it is necessary to study the Bimestre Cubana Magazine from 1910-1923, in order to understand the social discourse that predominated about women at the time. Its pages contain articles that provide information on women in the period from the educational, cultural and charitable point of view, through the use of lexicon, anthropological studies, among others. Reference is also made to the role of women in the preservation of national identity. Keywords: Women, social discourse, historical memory. RESUMEN En la actualidad se torna cada vez más frecuente el estudio de la primera mitad del siglo XX a partir de publicaciones seriadas, con el objetivo de reconstruir periodos y procesos que permitan la conservación de la memoria histórica. Para esta interpretación del pasado es necesario el estudio de la Revista Bimestre Cubana de 1910-1923, con el fin de comprender el discurso social que predominaba sobre la mujer en la época. En sus páginas resaltan artículos que referencian información sobre la mujer en el período desde el punto de vista educacional, cultural, de beneficencia, mediante el uso de lexicografías, estudios antropológicos, entre otros. De igual forma se hace referencia al papel de la mujer en la preservación de la identidad nacional. Palabras clave: Mujer, discurso social, memoria histórica.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".