Don Quijote y los orígenes de los mapas publicados en libros a comienzos de la era moderna europea
Bibliographic record
Abstract
La creciente importancia de la literatura como signo de la identidad nacional transformó cómo los mapas eran valorados durante la Ilustración. En la primera parte de este ensayo, se examinará cómo se visualizaba el componente cartográfico de los dibujos y los mapas incluidos en ediciones de Don Quijote publicadas en el siglo XVIII y en siglos anteriores también, ya que, curiosamente, la obra no aparecía adornada con mapas hasta la edición de 1780. Posteriormente, trazaremos el surgimiento de la identidad nacional y sus valores, tales como la autoridad cartográfica y masculina, dentro de esta obra literaria canónica tras su componente cartográfico. Este tema llega a ser más complejo cuando la asignación de identidad es realizada por manos extranjeras.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".