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Record W2039713697 · doi:10.7202/030550ar

Autre langue – autre vidéo?

2005· article· fr· W2039713697 on OpenAlexvenueno aff
Regula Brunner

Bibliographic record

VenueProtée · 2005
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArt

Abstract

fetched live from OpenAlex

Cet article veut proposer une description de l’impact de la langue sur la perception de la vidéo, La Mort de Molière , en comparant ses deux versions, française et allemande. À part la langue et la voix, la manière de parler, qui communique la perception et l’interprétation du texte par l’acteur, influence aussi la perception du spectateur. La comparaison des facteurs plutôt extérieurs, telles la traduction des textes, leur structuration temporelle par pauses, césures, etc., et l’intégration de la langue dans les autres éléments de la bande acoustique, montre que les deux versions sont similaires et même identiques dans beaucoup de passages. À cause de cette précision d’harmonisation des textes dans les deux versions et de leur provenance (oeuvres d’auteurs différents de langue française, allemande et aussi anglaise), on ne peut pas considérer une des versions comme texte de référence. Cependant chacune des deux versions souligne un aspect spécifique de la vidéo, la version allemande une rigueur esthétiquerationnelle et une distance réservée, la version française une légèreté ludique et un aspect plus humain.

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.687
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.176
GPT teacher head0.313
Teacher spread0.136 · 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; a candidate call from one teacher head, not a consensus.

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
Published2005
Admission routes1
Has abstractyes

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