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Record W2110480366 · doi:10.1177/0042098009351189

Social Relations, Property and ‘Peripheral’ Informal Settlement: The Case of Ampliación San Marcos, Mexico City

2009· article· en· W2110480366 on OpenAlexafffund
Jill Wigle

Bibliographic record

VenueUrban Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSettlement (finance)Metropolitan areaAnnexationUrbanizationMexico cityGeographyProperty (philosophy)EconomyPolitical scienceEconomic historyEconomic geographySociologyPoliticsEconomic growthArchaeologyEthnologyHistoryLaw

Abstract

fetched live from OpenAlex

This article explores the complexities of informal urbanisation at the metropolitan periphery of Mexico City through a case study of Ampliación San Marcos, a former agricultural area on the city’s south-eastern periphery. While the physical annexation of small towns and their environs is a common feature of Mexico City’s growth, the settlement of Ampliación San Marcos is more accurately described as a two-pronged process involving the extension of a nearby pre-Hispanic town and the expansion of Mexico City itself. The case study shows that the rural periphery of Mexico City is no tabula rasa upon which urban growth simply ‘takes place’, rather, settlement processes are influenced by longstanding in situ social relations and practices related to property. The paper highlights the importance of considering the relationships among social relations, property and informal settlement for understanding the complexity of metropolitan growth and change in large cities such as Mexico City.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0020.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.047
GPT teacher head0.341
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2009
Admission routes2
Has abstractyes

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