Bibliographic record
Abstract
Cet article analyse les relations entre Etats et firmes multinationales, à partir du cas de l’exploitation du nickel en Nouvelle-Calédonie. Le but est de montrer que les objectifs des partenaires divergent et que la FMN peut, dans une très large mesure, imposer ses choix. L’article se focalise sur le projet minier novateur de la FMN canadienne INCO. On montre que les répercussions économiques seront faibles pour le territoire. Au contraire, la FMN peut négocier des exemptions fiscales considérables. On s’interroge, ensuite, sur les raisons du gel du projet par la firme et on montre qu’une fois les gains obtenus dans la négociation, il peut être profitable de ne pas exploiter la ressource. On analyse, enfin, l’importance pour la firme d’avoir des projets dans au moins deux pays, afin de maximiser les concessions des pays d’accueil, en les mettant en concurrence.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".