City Makers and Diversity Governance: The Roles of Urban Leaders, Migrants, and Civil Society
Bibliographic record
Abstract
Abstract This introduction proposes a conceptual framework for analysing the governance of urban diversity, which places agency at the center. We explore how a wide array of urban actors, namely urban leaders, migrants, and civil society groups, shape the politics of diversity governance in cities. Rejecting static, top-down models, we conceptualize diversity governance as a dynamic, multiscalar, and contested process, unfolding through spatial transformations, policy innovations, and transnational circulations. By framing these processes through the notion of “city makers,” we emphasize the roles of both powerful elites and marginalized actors in shaping inclusive or exclusionary urban futures. Drawing from empirical case studies in cities such as Paris, Singapore, Guangzhou, and Hamamatsu, the book advances a comparative, process-oriented, and actor-centered approach to diversity governance, highlighting how the intersecting efforts of various city makers co-produce contemporary urban diversity governance.
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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 | 0.002 | 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 | 0.002 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".