Frédéric Back, el artista animador
Bibliographic record
Abstract
Frédéric Back (Alemania 1924-Canadá 2013) fue uno de los representantes más importantes de la animación de autor. Su obra animada se reduce a 10 cortometrajes producidos en un período de 25 años, lo que no le impidió llegar a ganar dos premios Oscar®. Frédérick Back lleva su formación como artista plástico a la Societé Radio-Canada, donde colabora dinamizando la presentación de diversos programas culturales. Desde 1967 comienza a realizar cortometrajes de animación, dirigidos hacia el público infantil y con una marcada preocupación por la conservación del medio ambiente. Algunos de sus trabajos más importantes son Todo nada (Tout-rien, 1978), Crac! (1980), El río de las grandes aguas (Le fleuve aux grandes eaux, 1993) y, sobre todo, El hombre que plantó árboles (L'homme qui plantait des arbres, 1987), al que dedicó 20.000 dibujos y 5 años de trabajo.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.068 | 0.013 |
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".