Green districts: increasing walkability, reducing carbon, and generating energy
Bibliographic record
Abstract
If cityscape of rooftops is an emerging concern within scientific community, particularly with regard to environmental impact resulting from these extended waterproofed, its relationship to energy and urban ecosystem is still relatively unexplored. Starting from idea that roof holds potential likely to emerge a new energy culture - while offering spaces that offer a quality of life and a unique landscape quality where nature and dense human habitation converge - main objective of this book is to lay groundwork for a reflection on consequences of role of energy and ecosystems on forms and architectural strategies and roof managers. In this sense, this manuscript is organized in three parts. The first part presents reflections and positions on need to establish sustainable development. The second part provides an architectural and urban look on roof. Last addresses multiple roof functions. Wearing a more specific look at case of Montreal, Paris and Chicago, this book makes way for practitioners of interventions (consultants, city officials etc.), researchers, architects, students and offers an interdisciplinary reflection on a territory become what some call the fifth urban facade. This publication reports on a stage of research project being conducted by an international group of researchers. Entitled air epidermis cities in terms of issue of energy and ways of life: Prospective forms and architectural and urban strategies. 'Learning from' Chicago, Montreal, Paris, project was one of eight winners of French research program Ignis mutat res. Think architecture, city and landscape in energy prism (2011-2015 ) controlled by Bureau of architectural research, urban and landscape of Ministry of Culture and Communication (France) in partnership with Ministry of Ecology, sustainable Development and Energy (France) Workshop International Grand Paris, Veolia Environnement and Vedecom Institute.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".