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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".