Bibliographic record
Abstract
Les situations des trois plus grands blocs mondiaux divergent, s’agissant de l’autonomie énergétique : les États-Unis sont devenus exportateurs, la Chine est dépendante pour environ 21 % de sa consommation primaire, l’Union l’est pour 57 %, et ce chiffre s’aggrave depuis vingt ans, et la France pour 44 %. Un effort majeur est requis tant de l’Union que de notre pays pour améliorer ces chiffres, ce qui implique, entre autres, une inversion de tendance pour le nucléaire. Pour le numérique, la situation de dépendance de l’UE s’est encore accrue, en particulier vis-à-vis des États-Unis. Une prise de conscience, aggravée par les crises récentes, conduit à des inflexions majeures. Dans les deux cas, l’ordre de grandeur des investissements privés et publics requis est le billion d’euros sur la décennie. De même, de nouvelles compétences sont nécessaires, ainsi qu’une planification de long terme. Enfin, les efforts à conduire sont étroitement liés entre les deux domaines.
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 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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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; 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".