Del cuento al cine de animación: semiología de una narrativa digital
Bibliographic record
Abstract
En este ensayo se ponen bajo sospecha los discursos reproducidos a través de diferentes medios, se cuestionan sus diferencias y sus semejanzas y, hasta qué punto, pueden ser analizadas para apropiarnos de los relatos. Los cuentos, igual que el cine, los juegos y el teatro, construyen la identidad infantil, pero ¿nos hemos detenido a pensar cuáles son las técnicas –de excitación afectiva– que se encuentran insertas en los discursos actuales?, ¿estamos educando para dar una respuesta cultural o serán las multinacionales quienes se encarguen de culturizar a la infancia? La intención de este texto, por tanto, radica en plantear cuestiones con las que desnaturalizar este tipo de ficciones para que, mediante la educación, la participación, la transgresión, la lectura perversa y la mirada alternativa y disidente recuperemos la libertad de crear nuestras historias y nuestras identidades. Sin influencias mercantilistas.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".