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Record W4406632693 · doi:10.1080/00220388.2025.2451867

A Common Framework to Analyze Social Mobility and Inequality of Opportunity. An Application to the Core and Peripheral Areas of Chile, Colombia, and Mexico

2025· article· en· W4406632693 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Development Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational and Educational Inequality Studies
Canadian institutionsGovernment of Northwest Territories
FundersInternational Development Research Centre
KeywordsCore (optical fiber)InequalityCommon coreSocial mobilityDevelopment economicsSocial inequalityEconomic geographyRegional scienceGeographySociologyEconomicsComputer scienceTelecommunicationsSocial scienceMathematics

Abstract

fetched live from OpenAlex

This paper presents a unified framework to analyze social mobility (SM) and inequality of opportunity (IOp) in Chile, Colombia, and Mexico, focusing on subnational disparities in intermediate functional areas. Using data from the 2018 Household Survey on Territorial Dynamics and Wellbeing, we estimate SM and IOp simultaneously to investigate how individuals’ origins and circumstances influence their economic outcomes as adults. The study employs rank-rank regression to measure relative SM and introduces additional variables, such as sex and territorial characteristics, to capture IOp. Our findings indicate that absolute mobility is similar across the three countries, but relative mobility is higher in Chile, while IOp is lower compared to Colombia and Mexico. Parental wealth is the most significant determinant of IOp in Mexico, whereas territorial factors play a more influential role in Chile and Colombia. The results suggest that policies aimed at reducing IOp and enhancing SM should combine place-based and person-based interventions, especially in countries where territorial characteristics significantly impact socioeconomic outcomes. This paper contributes to the literature by offering a comparative analysis of SM and IOp within a common analytical framework, thereby enhancing our understanding of the complex interactions between these two concepts.

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 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)0.003
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 score0.502
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.090
GPT teacher head0.416
Teacher spread0.326 · 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