Compatibility of Eco-Friendly, Sustainable Living with Urbanization: A Case-study of The Art of Living International Center near Bengaluru
Bibliographic record
Abstract
In the past few decades, urban growth in most parts of the world has disregarded sustainable practices, contributing to a myriad of global problems. With 68% of the global population projected to reside in urban areas by 2050, it is essential that we espouse and implement effective sustainable solutions immediately. This study focuses upon the smart sustainable practices adopted at the international headquarters of The Art of Living near Bengaluru, the ‘Silicon Valley of India’. Situated in a rapidly urbanizing area barely 20 kms from the busy metropolis, and characterized by a large floating population that varies from 3,000-6000 visitors per week, apart from almost 2000 residents, this bustling community has lush green cover, extremely rich biodiversity and excellent air quality. Some of the sustainable practices adopted here include permaculture, efficient waste management, moving towards the use of clean energy, etc. This paper posits that this unique community exemplifies the possibility of creating an ‘oasis of sustainability’ in the arid desert of urbanization.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".