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Traduire la dualité corps-esprit de you 游/遊 discernée dans les langages artistiques

2018· book-chapter· fr· W3204940224 on OpenAlexaff
Véronique Alexandre Journeau

Bibliographic record

VenueÉditions de la Maison des sciences de l’homme eBooks · 2018
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsCégep de Baie-Comeau
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Comme pour qi 氣, souffle-esprit et souffle-énergie ou xin 心, cœur-esprit et cœur-corps, traduire you 游/遊, c’est prendre le risque d’être à la fois approximatif et restrictif, en particulier dans les langages artistiques où la dualité corps-esprit est manifeste. Si « voyage en errance » me paraît l’expression la plus appropriée pour dire que, en rêve ou en réalité, on s’aventure au-delà, librement mais sans but, au gré des phénomènes, le mot juste n’existe pas. Or celui-ci serait bien nécessa...

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.018
Scholarly communication0.0080.007
Open science0.0000.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.003

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 head0.128
GPT teacher head0.343
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2018
Admission routes1
Has abstractyes

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