La argumentación en la Conquista y comienzos de la Colonia: una forma de construcción del sujeto del discurso historiográfico
Bibliographic record
Abstract
Este artículo explora diversos textos, escritos durante la época de la Conquista y comienzos de la etapa colonial en América, con el objeto de proponer la argumentación como forma discursiva que permite construir el sujeto historiográfico en esta época y romper con la tradición historiográfica medieval. Con base en el análisis de la intencionalidad del texto, inserto en un acto de habla, se considera el problema de la tipología textual y las diversas estrategias discursivas empleadas por los autores para configurar los sentidos sobre una nueva realidad. Tales estrategias ilustran no sólo la fuerza del lenguaje, en tanto evidencian una "escritura que conquista", sino también una de las formas de legitimación del proceso de conquista y colonización en América.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".