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Record W4409216380 · doi:10.15359/98-1.2

Prácticas de acogida e integración de migrantes en Costa Rica y República Dominicana

2025· article· en· W4409216380 on OpenAlexfundno aff
Matías Luciano Fouillioux Bambach, Aline Bravo

Bibliographic record

VenueRelaciones Internacionales · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaAgencia Nacional de Investigación y Desarrollo
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

The objective of this contribution is to identify and analyze the policies, practices of integration and protection of migrants, asylum seekers and refugees in vulnerable situations in Central America and the Caribbean, specifically through two case studies: Costa Rica and Dominican Republic; based on concepts such as sanctuary cities, hospitality, and solidarity, associated with the sanctuary movement that originated in the United States in the 1980s. The results show, on the one hand, a low rate of approval and processing of asylum applications, so that the practices of reception and integration of the population subject to study acquire greater relevance. However, there is a clear difference in the implementation of the concept with respect to the global north, due to the complexity of the migratory categories in the region and because they do not represent an opposition or resistance to local policies because they are intergovernmental agreements.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.102
Threshold uncertainty score0.204

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0010.003
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 head0.010
GPT teacher head0.346
Teacher spread0.336 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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