2022 Statistiques des transports intérieurs pour l’europe et l’amérique du nord
Bibliographic record
Abstract
Cette publication (volume LX) présente les statistiques sur les transports intérieurs. Les données couvrent l'Europe, le Canada et les Etats-Unis. L’édition 2022 comprend une série de tableaux de statistiques sur les transports pour les 56 États membres de la CEE. Il s’agit d’une publication de nature purement statistique. Comme les précédentes éditions, elle a été établie par la Division des transports durables de la CEE avec la coopération des organismes nationaux de statistique. Elle est publiée conformément à la recommandation formulée par le Comité des transports intérieurs à sa première session, selon laquelle la Division devait publier régulièrement les données les plus récentes disponibles sur les transports pour le plus grand nombre possible de pays de la région de la CEE.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.014 |
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".