The city under constraint: International migrants’ challenges and strategies to access urban resources in Mexico City
Bibliographic record
Abstract
New migration configurations, particularly regarding access to resources for arriving migrants in urban contexts, have emerged in Mexico. As a destination for newly arrived international immigrant populations, Mexico City has become especially important. Stranded migration situations have produced fragmented journeys for Latin American migrants who are on their way to the United States. With the strengthening of immigration containment policies and the insecurity in Mexico, the complexity of immigrant journeys has led to new ways of settling in the country, temporarily or permanently. This paper is based on empirical elements to analyze the experiences of migrants who have recently arrived in Mexico City using a perspective centred on their everyday practices in the urban space. It highlights the different tactics and strategies that migrants develop depending on the characteristics of their migration process and their need for access to resources, like housing, employment, health care, and education. We point out that, in a context of restricted access to resources or an immigration status, utilizing alternate and informal strategies in micro‐local spaces is common in the city and part of a negotiated urbanity in an unknown metropolitan environment. We argue that, despite the local intercultural policy implemented by the government of Mexico City, situations of legal precariousness and transitoriness that characterize the urban practices and patterns of incorporation into the city constrain international migrants’ access to their rights.
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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 | 0.001 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".