Literatura y creatividad artificial en la época de la singularidad
Bibliographic record
Abstract
En el presente artículo se analiza la convergencia de las plataformas emergentes de narrativa digital y la asimilación de la creatividad literaria humana por la creatividad artificial en el contexto de la noción de singularidad. Actualmente, las plataformas de escritura y lectura digital como Wattpad ya aplican la Inteligencia Artificial (IA) para la captura de datos de sus usuarios. Tanto los millones de historias como el comportamiento de los autores y lectores, interacciones registradas por la plataforma, configuran un almacén de información narrativa con el cual se podría alimentar los nuevos procesos de aprendizaje de los robots creativos narradores, tal como ya lo hace Quill, un algoritmo que genera contenido periodístico. Se ofrece así, un entendimiento más adecuado de la creatividad literaria, la creatividad artificial y el relato de la singularidad como fundamento filosófico de la IA.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.031 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".