Bibliographic record
Abstract
La liaison ferroviaire Lyon-Turin s’inscrit dans le réseau transeuropéen de transport (RTE-T), qui est un programme de développement des infrastructures de transport de l’Union européenne. Le tunnel de base du Mont-Cenis n’est qu’un élément de cette liaison, mais il a fait l’objet de toutes les attentions en raison de son gigantisme et de son coût. Ce chantier a bénéficié d’un effort particulier de l’Union européenne, qui le finance à hauteur de 40 %. Mais il a aussi suscité des critiques radicales : ses opposants ont invoqué des raisons écologiques, mais il a également fait l’objet de mises en cause d’ordre économique. La position récente du gouvernement italien permet de considérer que la construction du tunnel ira à son terme. Cependant, son efficacité économique dépendra de beaucoup de conditions qui restent à satisfaire et qui concernent, en particulier, la cohérence entre un programme d’exploitation de la ligne, pour les TGV comme pour le fret, et un programme des travaux que cette exploitation exige.
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 | 0.001 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 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".