Prise en compte du développement durable dans les projets urbains. Volet social et écologique. Application à Montréal
Bibliographic record
Abstract
Despite nowadays we hear it on every lips, the sustainable development is not a new concept. Indeed, the wishes of living in a healthy environment, of well-being, and of being balanced with nature, are ancestral behaviours which carried on for centuries, especially as regards to household architecture and landscape design, before sinking into oblivion at the time of the industrial revolution. These changes of behaviour didn't give trivial consequences on our environment and our quality of life.Through this essay, we will try to highlight the causes and the consequences of the previous mistakes about urban planning, architecture, and landscape design, by the study of the City of Montreal. Then we will propose some measures that both correct it and follow the principles of the sustainable development. The analysis will be completed on several scales, such as the quite big city's one, and then the smallest district and street and building scales. Indeed, the structure of a city is in a way fractioned, and each sub-scale which makes it up needs to work in synergy with all the others, so that a sustainable efficient and consistent policy can be applied, and also so that sustainable urban projects can be born.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".