Bibliographic record
Abstract
La cr?tica se empe?a en afirmar que El perro del hortelano, como tantas otras comedias de Lope de Vega, trata del tema del amor y el honor. Tal lectura es quiz?s hoy irrelevante. Las notas que siguen sugieren que si la obra de Lope tiene alg?n inter?s para el presente, m?s all? de constituir un simple art?culo de consumo, esc?nico o cinematogr?fico, hay que descubrir en la estructura teatral que conforma su f?bula la forma de existencia individual y social que la produce. En otras palabras: hay que historizar la obra. El an?lisis encuentra que el amor y el honor son los ingredientes de la f?bula, pero que los de la trama, que determinan la invenci?n de aqu?llos, son el poder y el dinero de una clase social que aunque todav?a manifiesta una visi?n aristocr?tica de la existencia vive ya seg?n los impulsos materiales de lo que ser? la sociedad burguesa, de cuyas autorrepresentaciones El perro del hortelano es ya un preludio.
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.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.004 |
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".