La voie ferrée et les ports : un système cohérent répondant à la massification à la fois économique et écologique du fret
Bibliographic record
Abstract
Par construction, les ports sont des lieux de massification des marchandises. Ils sont ainsi a priori favorables au ferroviaire, mode de transport massifié par excellence, aux côtés du fluvial et du maritime pour les courtes distances. Les coopérations entre les ports et les entreprises ferroviaires sont donc naturelles, la situation des uns impactant celles des autres (et réciproquement). Pour autant, rendre un tel dialogue fructueux exige une compréhension réciproque des besoins et du positionnement de chacun : c’est la condition d’une coopération renforcée entre ports et entreprises ferroviaires. Au-delà, cette coopération devra s’ouvrir à l’ensemble des acteurs du système ferroviaire, au premier rang desquels figurent les gestionnaires nationaux d’infrastructure.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".