La légitimation discursive des stratégies de localisation à l’international : une étude de cas comparée de deux groupes agroalimentaires français
Bibliographic record
Abstract
Les firmes multinationales (FMN) font face à une contestation publique croissante de leurs stratégies de localisation. Cette contestation, qui s’appuie notamment sur la mobilisation du terme délocalisation, incite leurs dirigeants à produire un discours de légitimation de ces stratégies. Le présent article étudie, à partir de l’analyse comparative et longitudinale des cas des groupes Bonduelle et Bel sur la période 2001-2009, dans quelle mesure la typologie des stratégies discursives de Vaara et al. (2006) constitue une grille d’analyse pertinente pour rendre compte des configurations discursives élaborées par les FMN pour préserver la légitimité de leur stratégie de localisation à l’international.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".