Bibliographic record
Abstract
En sus obras serias Quevedo somete los cuerpos humanos a un desmembramiento semejante al que utiliza en El Buscón y otras obras burlescas con fines cómicos. Sin embargo, se trata en este caso de un desmembramiento con fines exegéticos que le permite extraer nuevos significados de textos autorizados. Este procedimiento es especialmente productivo en su Política de Dios, en la que centra su atención en diversos órganos (ojos, orejas, manos, pies, etc.) del cuerpo de Cristo y otros personajes bíblicos para interpretar pasajes evangélicos de manera que pueda obtener de ellos normas de conducta política concretas para el rey y sus ministros. El origen de este método está en la exégesis alegórica de la Biblia —especialmente la tipológica y la tropológica. Está también influido por géneros literarios de la época que usan el desmembramiento —como la poesía amorosa petrarquista, el blasón anatómico o los emblemas— que estaban en auge por la popularidad de lo que se ha denominado «cultura de la disección».
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".