Bibliographic record
Abstract
Federico Garc?a Lorca desarrolla una teor?a muy original y anti-te?rica en Juego y teor?a del e Imaginaci?n, inspiraci?n, evasi?n, dos ensayos claves para interpretar el concepto de la negaci?n en el discurso apocal?ptico. Su colecci?n de poemas, Poeta en Nueva York, representa de modo performativo todos los aspectos de la muerte desde el sacrificio personal hasta el apocalipsis colectivo. El discurso apocal?ptico promete revelar lo indecible, pero el poeta en Nueva York traspasa los l?mites de la profec?a para sacrificarse y hablar desde el lado de la muerte. Lorca elabora un lenguaje del silencio en cuyo hueco deja resonar la voz del Otro. Ser pose?do por el duende implica dejarse herir mortalmente para recibir la creatividad m?xima que s?lo se arraiga en la herida. Esta paradoja que confunde eros y thanatos, el principio de la creatividad y el principio de la negaci?n, el yo y el otro tambi?n estructura el discurso apocal?ptico. Lorca subvierte el mensaje religioso del apocalipsis depur?ndolo hasta llegar a lo sublime de un panmateriali smo absoluto donde cesa la dualidad inherente a la vida. El duende posibilita la desintegraci?n del ego y la traves?a al espacio tel?rico que configura en t?rminos materiales como el lado de la muerte.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".