Traduire le slogan des organisations de la société civile : de la langue de la solidarité
Bibliographic record
Abstract
La présente étude porte sur la traduction du slogan des organisations de la société civile.Par une approche axée sur la traductologie de corpus, nous démontrons que le mode d'expression de ces organisations se distingue du marketing social publicitaire, bien qu'il en emprunte certains codes.Cette analyse, fondée sur les théories fonctionnalistes de la traduction et les principes de la communication multilingue sur le Web, met au jour les caractéristiques conceptuelles et structurelles du « slogan social » et nous permet, grâce à une comparaison de slogans originaux et traduits, de proposer des stratégies de traduction.Enfin, cette étude laisse croire à l'existence d'une véritable « langue de la solidarité », soit un genre discursif dont émane la communication au sein d'une société civile cosmopolitique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.019 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".