Quels futurs au Marais ?Cybernétique et écosophie à l'épreuve des friches bruxelloises. Prospective Research Brussels. TRITON (2021-PRB-19). Rapport final et Policy Brief
Bibliographic record
Abstract
Les friches urbaines bruxelloises sont au centre de tensions fortes entre valeurs écologiques et besoins socio-économiques. Ces territoires sont essentiels pour penser ensemble une double impasse :la crise sociale de l’accès au logement liée à la financiarisation de l’activité immobilière et la crise écologique liée à la destruction de milieux écologiques par changement d’affectation et artificialisation des sols, première cause de l’extinction des espèces. Pour répondre à ces défis, la connaissance territoriale et la planification urbaine sont confrontées à des controverses aiguës qui obligent à préciser ce que recouvre la biodiversité présente dans ces friches et qui nécessitent d’objectiver les politiques de construction de logements et de densification du territoire.
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".