SOCIO-ECONOMIC AND POLITICAL DETERMINANTS OF‘JAPA’SYNDROME: THE EMERGENT PLIGHT AND FLIGHT OF THE PRODUCTIVE NIGERIAN YOUTHS
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".