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Record W4411209315 · doi:10.1080/14747731.2025.2510094

Refugees, asylum seekers and other migrants in Central Mexico: The possibilities and limits of Triple Nexus efforts among state and non-state actors

2025· article· en· W4411209315 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.

Bibliographic record

VenueGlobalizations · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsCarleton University
Fundersnot available
KeywordsNexus (standard)RefugeeState (computer science)Political sciencePolitical economyDevelopment economicsSociologyEconomic growthEconomicsLaw

Abstract

fetched live from OpenAlex

The Humanitarian-Development-Peace Triple Nexus seeks to increase cooperation and coordination to address short- and long-term needs of populations and create effective sustainable solutions. Through a gender and intersectional lens, we examine how humanitarian, development and peace practices and policies by state and non-state actors address the needs of refugees, asylum seekers and other migrants in Central Mexico. Drawing on ethnographic research and secondary sources, we find that international organizations used the HDP framework explicitly and implicitly to assist, train, and coordinate local government officials and civil society organizations. Although this process registered modest success, the long-term sustainability of these advances is threatened by the local exit of international organizations due to geopolitical conflicts and the turnover of elected officials. Furthermore, the development and peace dimensions of the HDP framework demand involvement of and coordination with national and transnational actors across different scales for them to be successfully addressed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.008
GPT teacher head0.282
Teacher spread0.274 · 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