MétaCan
Menu
Back to cohort
Record W7047508138

Frédéric Back, el artista animador

2022· other· es· W7047508138 on OpenAlexaboutno aff

Bibliographic record

VenueRiuNet (Politechnical University of Valencia) · 2022
Typeother
Languagees
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsSubject (documents)Work (physics)Context (archaeology)Relation (database)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.640
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0860.002

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.

Opus teacher head0.015
GPT teacher head0.230
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRiuNet (Politechnical University of Valencia)Same topicSuperconducting and THz Device TechnologyFrench-language works237,207