Les ruines de Détroit, fléaux ou opportunités de la décroissance urbaine ? Vers une éthique politique de la ruine
Bibliographic record
Abstract
Dans les villes en décroissance, les ruines constituent une réalité fondamentalement ambiguë, s’accompagnant de fléaux comme d’opportunités. À Détroit, shrinking city qui fut jadis capitale de l’industrie automobile, l’existence de dizaines de milliers de ruines pose des problèmes essentiels tout en faisant l’objet d’une fascination esthétique, suscitant d’âpres controverses. Cet article fait l’état des lieux des débats qui concernent les ruines de Détroit, afin de proposer des pistes pour construire une éthique politique de la ruine, permettant de mieux planifier et vivre avec les ruines dans les villes en décroissance. Il s’appuie sur une revue de la littérature sur les ruines et le déclin urbain, ainsi que sur une enquête de terrain réalisée à Détroit en 2012 et 2013.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".