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Record W2991611745 · doi:10.3917/turb.113.0027

Mannheim : à la découverte de la mécanique de la ville rhénane

2008· article· fr· W2991611745 on OpenAlexaff
Klaus Mandel, Volker Bohn, Xavier Desjardins

Bibliographic record

VenueTransports urbains · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Les villes rhénanes constituent incontestablement un modèle en matière de gestion urbaine. Dans ces villes parcourues par de multiples lignes de transports collectifs, les voitures se font discrètes et les piétons jouissent d’un confort rarement égalé. À ces considérations sur cette qualité urbaine s’ajoute aujourd’hui un discours sur leurs atouts pour un développement urbain durable : faibles consommations d’espace et d’énergie se conjuguent dans ces villes. Depuis la promotion de ce mode de développement, ces villes rhénanes apparaissent comme des modèles. Mais comment fonctionne le « modèle » ? Notre propos ne veut pas chercher à « casser le mythe » de la ville rhénane. Bien au contraire, il cherche au contraire à en comprendre les rouages. En effet, il ne s’agit pas d’imiter, mais de mieux de se servir de ce que l’on voit, pour mieux faire ce que l’on fait.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.290
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.003

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.

Opus teacher head0.021
GPT teacher head0.257
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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