Uneven state formalization and periurban housing production in Hanoi and Mexico City: Comparative reflections from the global South
Bibliographic record
Abstract
In the early 2000s, Vietnam and Mexico turned to the private sector to respond to increasing housing demand and tame the growth of uncontrolled periurban settlements. Around Hanoi, such arrangements fostered the construction of vertical developments while large subdivisions of single-family houses spread over former lakebeds in the peripheries of Mexico City. A stronger role of the private sector in the planning and provision of housing is often seen as an outcome of crisis-driven and crisis-inducing neoliberal reforms. However, the cases of Vietnam and Mexico suggest that a fuller understanding of housing production strategies currently favoured by each state needs to account for important elements of continuity in social, political, and economic practices. This continuity is demonstrated through the comparative analysis of three aspects of the restructuring of housing production in Mexico City’s and Hanoi’s periurban areas: (i) the discourses of ‘order’ used to legitimate heightened private sector involvement, (ii) legislative reforms facilitating periurban land appropriation for redevelopment, and (iii) the socio-spatial outcomes of these recent changes in terms of housing affordability, liveability, and quality. We conclude that both city-regions, despite important differences in their institutional and economic systems display enduring state/market/civil society relations associated with processes of ‘uneven state formalization’. This continuity and unevenness, we argue, better explains recent transformations of periurban housing production than an emphasis on the ruptures resulting from neoliberal reforms.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".