Un dios que se transforma en héroe. Una aproximación genética a los textos de Peter Pan
Bibliographic record
Abstract
Desde la perspectiva de la genética textual, en este trabajo observamos las representaciones del personaje de Peter Pan en los textos de J. M. Barrie dedicados a este con respecto a sus semejanzas con el dios griego Pan, para ver de qué manera dialogan con los diferentes sentidos que el dios fue connotando a través de siglos. Analizamos la fotonovela The Boys Castaways of Black Lake Island (1901); The Little White Bird (1902), novela en la que aparece en seis capítulos; las “Fairy Notes” (1903) en borrador y el libreto inédito llamado Anon: a play de la obra teatral Peter Pan or The Boy Who Would Not Grow Up (estrenada en 1904); la novela Peter Pan in Kensington Gardens (1906), que consiste en esos seis capítulos de The Little White Bird; la novela Peter and Wendy (1911), adaptación de la obra de teatro; un guión cinematográfico, Scenario for a Proposed Film of Peter Pan, (c. 1918), que no se filmó; y el libreto de la obra, finalmente publicado, con bastantes cambios, en 1928.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".