La apuesta independiente de la animación europea, a través de El pan de la guerra
Bibliographic record
Abstract
El pan de la guerra (The Breadwinner, Nora Twomey, 2017) es una película irlandesa-canadiense de Cartoon Saloon, que ha tenido como productora ejecutiva a Angelina Jolie y Jordan Peele. La película está basada en la novela bestseller de Deborah Ellis, publicada en 2002, ganadora de varios premios literarios, y que se basó en numerosas entrevistas efectuadas a mujeres y niñas en los campamentos de refugiados de Pakistán y Rusia. El pan de la guerra relata la historia de Parvana, una chica afgana que durante el gobierno de los talibanes debe hacerse pasar por un chico para así mantener a su familia. La película de animación se estrenó en el Toronto International Film Festival de 2017, y ha sido nominada al Oscar® a la Mejor Película de Animación 2018. Para el siguiente artículo hemos contado con una de las diseñadoras y artistas de concepto de Cartoon Saloon, la valenciana Rosa Ballester, que nos explica su proceso de producción en conversación con Nora Twomey (directora del film) y Fabian Erlinghäuser (director de animación).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".