La survie des coentreprises d'internationalisation dans les pays émergents : quel est l'impact du risque pays?
Bibliographic record
Abstract
This article focuses on the international joint ventures formed in emerging countries. More precisely, the objective is to study their survival rate and to link it to variations in the evaluation of country risk of the emerging countries in question. This survival analysis was conducted on a sample of 201 international joint ventures, formed during the year 1996 by foreign partners from the European Union and local partners from various emerging countries. The survival analysis was combined with a log-logistic analysis of the impact of different country risk variables on the hazard rate of these joint ventures. With regard to the survival of international joint ventures formed in emerging countries, a temporal evolution was observed both for their rate of disappearance and for their hazard rate. The findings partially validate the impact of country risk: the relation between country risk and the survival of joint ventures is confirmed empirically but only when the emerging country in question experiences a decline in its hazard over time.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".