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Record W4415773832 · doi:10.1002/psp.70142

The Production of Credentialized Aspirations: Familial Strategies in Mexican Upper‐Middle‐Class International Mobility

2025· article· en· W4415773832 on OpenAlexaffabout
María E. Cervantes‐Macías

Bibliographic record

VenuePopulation Space and Place · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsUniversity of British Columbia
FundersYale University
KeywordsForegroundingEliteScholarshipPrivilege (computing)ReproductionSocial reproductionContext (archaeology)Construct (python library)Social mobilityMeritocracy

Abstract

fetched live from OpenAlex

ABSTRACT This paper examines how Mexico's upper‐middle classes construct credentialized aspirations —intergenerational, place‐based strategies of class reproduction centered on the pursuit of globally recognized educational and professional credentials. Drawing on 45 life‐history interviews with Mexican professionals in Vancouver and Seattle and their parents in Monterrey, the study situates these strategies within the broader context of North American economic integration since NAFTA. Rather than engaging in family migration projects, upper‐middle‐class families invest in elite international education to cultivate cosmopolitan dispositions and transnational networks from an early age, enabling their children to navigate ‘highly skilled’ migration regimes in the United States and Canada. I develop the concept of credentialized aspirations to describe how the iterative accumulation of credentials—degrees, language proficiency, and professional experience—functions as a mechanism for sustaining social mobility under conditions of neoliberal uncertainty. This analysis reveals how regional integration, private education infrastructures, and meritocratic migration policies intersect to shape the geographies of privilege and mobility in North America. By foregrounding the Mexican case, the paper advances population geography scholarship on aspirations and mobility, demonstrating how elite reproduction operates through localized practices that are deeply entwined with transnational imaginaries of success.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.033
GPT teacher head0.332
Teacher spread0.299 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes2
Has abstractyes

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