Bibliographic record
Abstract
Urban transformations and public health in the emergent city examines how urban health and wellbeing are shaped by migration, mobility, racism, sanitation and gender. Adopting a global focus, spanning Africa, Asia, Europe and Latin America, the essays in this volume bring together a wide selection of voices that explore the interface between social, medical and natural sciences. This interdisciplinary approach, moving beyond traditional approaches to urban research, offers a unique perspective on today’s cities and the challenges they face. Edited by Professor Michael Keith and Dr Andreza Aruska de Souza Santos, this volume also features contributions from leading thinkers on cities in Brazil, China, South Africa and the United Kingdom. This geographic diversity is matched by the breadth of their different fields, from mental health and gendered violence to sanitation and food systems. Together, they present a complex yet connected vision of a ‘new biopolitics’ in today’s metropolis, one that requires an innovative approach to urban scholarship regardless of geography or discipline. This volume, featuring chapters from a number of renowned authors including the former deputy mayor of Rio de Janeiro Luiz Eduardo Soares, is an important resource for anyone seeking to better understand the dynamics of urban change. With its focus on the everyday realities of urban living, from health services to public transport, it contains valuable lessons for academics, policy makers and practitioners alike.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.023 | 0.015 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.307 | 0.007 |
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".