Les RER métropolitains comme marqueurs de l’affirmation des Métropoles françaises ? : Enjeux français et éclairages internationaux
Bibliographic record
Abstract
As a new tool of public mobility policies, the suburban railway service (Metropolitan RER) is an instrument on the path to generalization for structuring mobility within France's major metropolitan areas. This work highlights the “French specificity” represented by the absence of this tool in the mobility landscape outside of the capital region, in contrast to Western European countries with both Germanic and Latin traditions. This research then analyzes the observable dynamics in the process of appropriating the Parisian, as well as European framework, with a more in-depth focus on the Lyon Metropolitan RER. This specific case is a significant indicator of the multisectoral and interscalar logics of action (local/national, urban/interurban, technical/decision-making) that constrain the effective implementation of these rail services today. Finally, this work draws on the study of two foreign cases (Barcelona and Montreal), which help to question the effectiveness of metropolitan governance in managing rail services, as well as the need to structure mobility on a new scale, following the metropolitanization process underway for several decades
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".