Bibliographic record
Abstract
This book provides a comparative perspective on housing and planning policies affecting the future of cities, focusing on people- and place-based outcomes using the nexus of planning, design and policy. A rich mosaic of case studies features good practices of city-led strategies for affordable housing provision, as well as individual projects capitalising on partnerships to build mixed-income housing and revitalise neighbourhoods. Twenty chapters provide unique perspectives on diversity of approaches in eight countries and 12 cities in Europe, Canada and the USA. Combining academic rigour with knowledge from critical practice, the book uses robust empirical analysis and evidence-based case study research to illustrate the potential of affordable housing partnerships for mixed-income, socially inclusive neighbourhoods as a model to rebuild cities. Cities and Affordable Housing is an essential interdisciplinary collection on planning and design that will be of great interest to scholars, urban professionals, architects, planners and policy-makers interested in housing, urban planning and city building.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.921 | 0.877 |
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".