La reconfiguration linguistique dans une entreprise canadienne à l’ère de la mondialisation
Bibliographic record
Abstract
Cet article examine la reconfiguration des langues dans une entreprise canadienne active partout dans le monde dans la production et la distribution de produits pharmaceutiques, elle-même soumise aux transformations liées à la mondialisation et à la nouvelle économie. Il porte, d’une part, sur l’évolution historique de la dynamique des communications internes au sein du siège social et, d’autre part, sur les pratiques langagières qui ont eu lieu entre le siège social et une succursale en Europe à la suite de la privatisation et de l’internationalisation de l’entreprise. On observe que les transformations liées à la mondialisation contribuent peut-être au maintien et au renforcement de l’anglais, mais qu’en émerge aussi un besoin de bi et de plurilinguisme, d’où des stratégies de courtage, d’exportation, de délocalisation, de sous-traitance, ou encore d’improvisation du travail plurilingue.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.012 | 0.020 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".