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Record W7114797538 · doi:10.60787/bsuje.vol25no1.17

SOCIO-ECONOMIC AND POLITICAL DETERMINANTS OF‘JAPA’SYNDROME: THE EMERGENT PLIGHT AND FLIGHT OF THE PRODUCTIVE NIGERIAN YOUTHS

2025· article· en· W7114797538 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

VenueAfrischolar Discovery · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsSocioeconomic statusPoliticsPsychological interventionFeelingUnemploymentCorporate governancePovertyQualitative research

Abstract

fetched live from OpenAlex

The current youth migration in Nigeria, often colloquially referred to as "Japa Syndrome" in Nigeria, has become a significant socio-economic phenomenon with far-reaching implications for both individuals and society. This study investigates the knowledge/socio-economic and political determinants driving Japa syndrome type of migration among Nigerian youths, thus, this research aiming at providing insights into the root causes and implications of this topical migration pattern. Drawing on a mixed-methods approach; including quantitative surveys and qualitative interviews, data were collected from a diverse sample of Nigerian youths across different regions and socio-economic backgrounds. The findings reveal a complex interplay of economic, social, political, and transnational factors shaping migration decisions among Nigerian youths. Economic factors, including high unemployment rates, stagnant wages, and limited job opportunities, emerged as primary push factors prompting migration, while social factors such as educational attainment, family background, and peer influence also played crucial roles. Moreover, political instability and governance failures were identified as contributing factors driving youths to seek opportunities abroad. The study further explores the individual impacts of migration, including improvements in income levels and access to educational and employment opportunities abroad, as well as challenges such as cultural adjustment, discrimination, and feelings of isolation. Societal implications of Japa Syndrome migration, such as brain drain, demographic shifts, and social cohesion challenges, are also discussed. Based on the findings, the study proposes a series of nuanced policy recommendations and interventions aimed at addressing the socioeconomic determinants of Japa Syndrome migration among Nigerian youths. These recommendations encompass strategies such as investing in education and skills training, creating job opportunities, improving governance and political stability, as well as promoting social inclusion and integration for returning migrants.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.373

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 studies0.0000.001
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 head0.007
GPT teacher head0.275
Teacher spread0.267 · 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