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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.023 | 0.012 |
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".