Regalos, jerarquía y rivalidad en el Poema de mio Cid
Bibliographic record
Abstract
El prestigioso simbolismo de distinci?nf rivalidad y jerarqu?a que el gesto de regalar con liberalidad encierra es un aspecto del Poema de mio Cid que merece un mayor estudio. Es un hecho bastante reconocido por la antropolog?a cultural que la excesividad en el regalo tambi?n representa un gesto abierto de competencia y agresividad en sociedades cuyos miembros rivalizan por adquirir, acumular y conservar signos de diferenciaci?n jer?rquica y prestigio personal. A lo largo de este ensayo, demuestro que tales contextos hist?rico-sociales (propicios a tal interpreta ci?n de rivalidad y competencia en el comportamiento de los personajes del poema) caben perfectamente en la obra dadas las condiciones pol?ticas, sociales y econ?micas vigentes en al-Andalus en la ?poca hist?rica que el Poema se propone reflejar.
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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 | 0.003 | 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 | 0.009 | 0.021 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".