Arabie Saoudite : la filière française mobilisée
Bibliographic record
Abstract
\n\t\t\t\tÀ l'horizon 2040, l'Arabie Saoudite projette de remplacer la moitié de la part des énergies fossiles par des ressources d'énergie bas carbone : nucléaire et renouvelables. Pour y parvenir, le Royaume a créé en 2010 la King Abdullah City for Atomic and Renewable Energy (KACARE).\nCette entité est chargée de définir et piloter la transition énergétique. À terme, le mix énergétique sera composé de nucléaire, de géothermie, de biomasse et d'éolien (31 GWe), de solaire (41 GWe) et d'hydrocarbures (60 GWe). La France accompagne le Royaume saoudien depuis plusieurs années. L'Hexagone partage son expertise et son savoir- faire au travers de formations académiques, scientifiques et techniques. Plus que jamais, la formation des professionnels s'affirme comme la pierre angulaire pour la construction d'une filière nucléaire d'excellence.\n\t\t\t
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".