Entanglements of Periphery and Informality in Mexico City
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Mexico City is a well‐known case of urban expansion. Most of the growth has been in its peripheries, occurring during two phases of housing privatization: a predominantly self‐built urbanization by residents establishing irregular settlements (starting in the 1930s); and a relatively recent surge of mass‐produced small‐scale single‐family housing built by state‐sponsored development companies (underway since the year 2000). Informality, we argue, should not be understood as a mode of housing production setting in opposition self‐build practices against industry‐led and/or state‐sponsored processes, but rather as a dialectical urbanization logic shaped by the entanglements of in/formal processes in governance practices, land privatization and regularization, and urban infrastructure and services deficits. We are particularly interested in a dominant narrative whereby the embeddedness of informality is constantly underplayed and irregular settlements are cast as a residual category, a problem to tolerate or in need of intervention, or the inevitable combination of demographic growth and housing shortage, rather than the direct outcome of urban policies and development processes. Conversely, recent housing policy in Mexico is officially narrated as an economic stimulus, a means to control and order (irregular) urban expansion, and an impulse to democratize homeownership. Our discussion of the entanglements of informality in Mexico City is based on an extended literature review of academic articles and official reports (predominantly in English), supplemented by a series of street and neighborhood explorations (in the summers of 2012 and 2013) across the metropolis.
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.
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 | 0.003 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it