Effet de la corruption sur la survie des filiales de multinationales dans un pays Émergent : le cas de l’Indonésie
Bibliographic record
Abstract
Dans cet article, nous analysons l’influence de la corruption sur la survie des filiales de multinationales dans un pays émergent en utilisant une approche permettant de prendre en considération le paiement effectif de pots-de-vin au niveau des firmes. Sur la base d’une étude de survie menée sur 3 483 filiales de multinationales en Indonésie sur une période de 33 ans, nous testons l’influence du paiement de pots-de-vin et de taxes indirectes. Les résultats montrent que la corruption a un effet modérateur sur le taux de mortalité des filiales étrangères récentes, mais cet effet disparait pour les plus anciennes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".