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Record W2912312498 · doi:10.4000/palimpsestes.3326

Traduire la nourriture en littérature d’enfance et de jeunesse : plaisirs et dangers, individu et société

2019· article· fr· W2912312498 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePalimpsestes · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La nourriture est une thématique particulièrement présente en littérature d’enfance et de jeunesse et dans l’univers de l’enfance, car elle sollicite les sens du jeune public et fait partie de son processus de socialisation et de développement personnel. Source de plaisir et/ou de danger, traditionnellement porteuse de valeurs morales, elle touche au corps et à l’identité des individus, et n’est donc jamais anodine. Pour mieux la traduire, on doit en comprendre la fonction dans le texte et la dimension intrinsèquement culturelle ; une visée cibliste prédomine encore et privilégie la dimension affective de la nourriture, bien que l’altérité soit de plus en plus conservée. Parmi les outils des traducteurs figurent les jeux sur l’oralité et les images, qui aident à donner corps à l’alimentation. Il s’agit d’inscrire la traduction dans la réflexion générale qui se fait autour de la nourriture afin de mieux penser les stratégies traductives et leurs effets sur les papilles des lecteurs.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly 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: Empirical · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.317
Teacher spread0.303 · 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