Adoption des pratiques du foguain chawara dans la filiale d’une multinationale au Niger : la mobilisation des connaissances locales
Bibliographic record
Abstract
Ce papier analyse l’adoption des pratiques du foguain chawara dans la filiale d’une multinationale au Niger. Foguain chawara qu’on peut traduire par palabre locale à partir de la langue haoussa, est une vieille institution traditionnelle faisant appel aux anciens et à la vie communautaire. L’étude qualitative menée montre que l’adoption de ses pratiques par la filiale locale de la China National Petroleum Corporation facilite le transfert intergénérationnel des connaissances et l’intégration des connaissances locales dans les stratégies de gestion des conflits et de prise de décision de l’entreprise. Les résultats montrent aussi que l’interaction entre acteurs locaux et cadres chinois renforce les connaissances locales sur la gestion des risques.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".