Suburban Migration: Interrogating the Intersections of Global Migration and Suburban Transformation
Bibliographic record
Abstract
Abstract Suburbanisation as a global phenomenon has presented multifaceted patterns of evolution and transformation in various contexts. Migrant settlements in suburban spaces just add more complexities to suburbia by bringing diverse demographics, (inter)cultural practices, new built forms, and new meanings of space and community. These migrant spaces challenge conventional suburban socio-spatial organisations of land, infrastructure, and resources as well as suburban governance, planning, and design. The manifestations of migrant suburbs where diversity and urban growth are juxtaposed inevitably present profound implications for governments, practitioners, and academics in a myriad of ways, such as changing land uses and physical forms (e.g. neighbourhood characters), competing claims for space and rights to the city (e.g. who has the access), and increasing awareness of equity and social inclusion (e.g. who belongs to and in the community). This chapter draws on the migration-related suburbanisation processes in different contexts and applies the theory of the production of space to cast light upon the narratives of everyday suburban life, diversity management, growth and development, policy and governance, and socio-spatial (in)equity and (in)justice.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".