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Record W2921245204 · doi:10.4000/books.pus.1583

Voyage à Tokyo : désœuvrer l’expressivité du cinéma

2018· book-chapter· fr· W2921245204 on OpenAlexaff
Suzanne Beth

Bibliographic record

VenuePresses universitaires de Strasbourg eBooks · 2018
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Le cinéma resterait lié, non plus à une pensée triomphante et collective, mais à une pensée hasardeuse, singulière, qui ne se saisit et ne se conserve plus que dans son “impouvoir”, telle qu’elle revient des morts.Gilles Deleuze, « Optimisme, pessimisme et voyage »Lettre à Serge DaneyOzu a dit de Voyage à Tokyo qu’il s’agissait de l’un de ses films les plus mélodramatiques et Hasumi commente cette remarque en constatant dans un premier temps qu’en effet le film « comporte une intrigue qui su...

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.812
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
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0330.001

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.

Opus teacher head0.019
GPT teacher head0.182
Teacher spread0.163 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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