La mujer en la literatura del s. XX y XXI. La lectura como medio enriquecedor del conocimiento
Bibliographic record
Abstract
El estudio analiza valores como la interculturalidad y la diversidad llevando a cabo un analisis e investigacion de obras de literatura en lengua inglesa y tomando como especial referencia obras de la literatura Canadiense y Australiana en el S. XX y XXI, como principal tema el feminismo. Dichas valoraciones, analisis y resultados irian encaminados a valorar el papel de la lectura en nuestra Sociedad y tiempo, actualizando asi los valores y las referencias que hay sobre la lectura como herramienta didactica utilizando nuevas tecnologias. La lectura en lengua inglesa como herramienta didactica para la interculturalidad y el conocimiento. Se va a hacer especial hincapie a la lectura y tecnicas de motivacion como medio enriquecedor del conocimiento. The study analyzes values such as interculturality and diversity, carrying out an analysis and research of works of literature in the English language and taking as a special reference works from Canadian and Australian literature in the 20th and 21st centuries, as the main theme of feminism. These assessments, analyzes and results would be aimed at assessing the role of reading in our society and time, thus updating the values and references that there are about reading as a didactic tool using new technologies. Reading in English as a didactic tool for interculturality and knowledge. Special emphasis will be placed on reading and motivation techniques as a means of enriching knowledge
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".