Analyse de cycle de vie à l’échelle du quartier : un outil d’aide à la décision? Le cas de la ZAC Claude Bernard à Paris (France)
Bibliographic record
Abstract
Les collectivités territoriales s’engagent dans de nombreuses actions pour limiter leurs impacts environnementaux. La ville de Paris cherche à se doter de nouveaux outils permettant de mesurer l’incidence de choix urbains ou architecturaux sur l’environnement dès la phase de conception. Les outils d’analyse du cycle de vie (ACV) permettent aujourd’hui d’évaluer les performances tout au long de la vie d’un ouvrage : construction, exploitation, fin de vie. La recherche présentée dans cet article a permis d’effectuer l’ACV de la ZAC Claude Bernard à Paris et d’observer le potentiel d’aide à la décision pour la maitrise d’ouvrage d’un tel outil.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".