Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cities are the most likely actors to design and bring about lasting sustainability. An agreement among the world’s larger cities is possible, and likely a necessary but insufficient condition to achieve sustainable development. Cities and Sustainability explores the ways in which cities are both the biggest threat to sustainability, and the most powerful tool to get us to sustainable development. Employing an innovative methodology to a complex issue, the book proposes new metrics and approaches that assume cities as fundamental in the search for sustainability. Providing population projections for the world’s larger cities and a hierarchy of sustainable cities, the author develops two new tools: (i) a cities approach to physical and socio-economic boundaries, and (ii) sustainability costs curves. These tools are designed to be implemented in a multi-stakeholder, integrated partnership that truly maximizes the benefits of cities in the quest for sustainability. Applying the tools outlined in the book to case studies from Dakar, Mumbai, Sao Paulo, Shanghai and Toronto, this volume will be of great relevance to students, scholars and practitioners with an interest in urban and city management, climate change, and environment and sustainability more broadly.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 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 it