Multinationalization during the globalization period: the case of Indian power companies after 2007
Bibliographic record
Abstract
La présence de firmes multinationales suffit-elle pour parler de mondialisation ? Nous aimerions apporter une distinction entre multinationalisation et mondialisation avec l’exemple de quatre entreprises électriques indiennes, deux issues du secteur privé et deux du secteur public. Entre 2007 et 2015, ces entreprises ont connu une croissance foudroyante à laquelle ont contribué leurs activités internationales. Parmi celles-ci, certaines appartiennent à la multinationalisation : prolongement des marchés nationaux vers l’extérieur, acquisition de ressources naturelles à l’étranger. Puis, il y a celles que l’on peut ranger dans la mondialisation : tentatives de se conformer à des modèles internationaux, financement par le biais de banques et de maisons financières. Toutefois, les firmes ont également recouru à cette autre pratique liée à la mondialisation : l’endettement comme source principale de financement. Cela a plongé les deux sociétés privées dans une situation financière délicate.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".