Bibliographic record
Abstract
Abstract The transnational circulation of policy ideas has been increasingly advanced as a significant factor in the fabric of local diversity policies. On the one hand, the circulation of managerial concepts such as diversity management has contributed to the rise of neoliberal urban diversity models; on the other, city networks, international organisations, and transnational civic movements are pushing forward progressive urban diversity agendas. This chapter aims to analyse the role of such processes of policy modelling in shaping urban diversity governance. It is based on fieldwork conducted in Doha and Singapore since 2018 and on the analysis of these cities’ policy documents. The chapter shows how transnationally circulating references and norms contribute to shaping local diversity governance frameworks and how both cities strive to position themselves as diversity governance models. I argue that their modelling strategies rely on the spatial and organisational compartmentalisation of distinct diversity frames. The chapter identifies four compartments in Doha and Singapore that correspond to distinct understandings of diversity and differentiated modelling strategies. This allows to minimise policy tensions, alleviate external critiques, and craft local experiments that can be projected as models on the world stage.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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; a candidate call from one teacher head, 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".