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Record W4417230278 · doi:10.1017/irn.2025.10123

Settlement versus Onward Migration: Cultural Adaptation and Transnational Mobility Strategies among Iranian International Female Students in South Korea

2025· article· en· W4417230278 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIranian Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersNational Research Foundation of KoreaMinistry of EducationNational Research Foundation
KeywordsSettlement (finance)Face (sociological concept)Adaptation (eye)GlobalizationGlobal South

Abstract

fetched live from OpenAlex

Abstract This study investigates the transnational mobility of Iranian women pursuing higher education in South Korea, focusing on their motivations, adaptation, and postgraduation trajectories. Drawing on the influence of the Korean Wave since the 2000s, it examines how popular culture, gender constraints in Iran, and migration aspirations intersect. Despite their initial attraction to Korea’s global image, many face cultural barriers, discrimination, and restrictive visa systems that limit settlement opportunities. Consequently, some seek “onward migration” to third countries such as Canada or Germany. By situating these experiences within broader Iranian migration dynamics, the study highlights gendered dimensions of educational migration and the policy limitations shaping Iranian students’ transnational mobility.

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)0.001
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 score0.228
Threshold uncertainty score0.785

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.072
GPT teacher head0.372
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