Vincent Hoffmann-Martinot, Jefferey Sellers (dir.), Politique et métropole. Une comparaison internationale , Paris, CNRS éditions, 2007 (Science politique), 252 p. ; Christian Lefèvre, Gouverner les métropoles , Paris, LGDJ/Lextenso éditions, 2009 (Politiques locales), 118 p., bibliographie ; Frédéric Gilli, Jean-Marc Offner, Paris , métropole hors les murs , Paris, Presses de Sciences Po, 2008 (Nouveaux débats), 200 p., bibliographie ; Gilles Pinson, Gouverner la ville par projet. Urbanisme et gouvernance des villes européennes , Paris, Presses de Sciences Po, 2009, 424 p., bibliographie, table des documents ; Anne Mévellec, La construction politique des agglomérations au Québec et en France. Territoire , gouvernement et action publique , Laval, Presses de l’Université de Laval, 2008, 294 p., annexe méthodologique, bibliographie ; Taoufik Ben Mabrouk, Le pouvoir d’agglomération en France. Logiques d’émergence et modes de fonctionnement , Paris, L’Harmattan, 200
Bibliographic record
Abstract
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.018 | 0.037 |
| Science and technology studies | 0.018 | 0.047 |
| Scholarly communication | 0.003 | 0.010 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".