Migration narratives in the book of Genesis and Japa syndrome among Nigerian youths
Bibliographic record
Abstract
The book of Genesis has copious narratives on migration. This article studies the migration stories of Abram’s and Jacob’s families vis-à-vis migration among Nigerian youths. A study of these biblical narratives reveals that severe famine precipitated the movement of these patriarchs and their families. Abram’s and Sarai’s migration to Egypt, according to Genesis 12:10, was a result of famine. Genesis 46 and 47 record that Jacob’s family migrated to Egypt due to the severe famine in Canaan. Similarly, many Nigerian youths migrate to other countries such as Canada, the United Kingdom, South Africa, Australia, Austria, Ireland, Germany, et cetera to escape financial hardship and pursue greener pastures. To this end, the slang ‘Japa’ has become a household term among Nigerian youths. Japa is a new word for leaving one’s country for better living conditions. With narrative and descriptive analysis, this article studies relevant texts in Genesis and the Japa phenomenon among Nigerian youths. A comparative study reveals that bad living conditions are hugely associated with migration in the Old Testament and contemporary times. The high rate of unemployment, underemployment, and a lack of opportunities faced by Nigerian youths are hugely responsible for the mass migration. The study recommends that the Nigerian government create an enabling environment that promotes the financial stability of youths through better job opportunities and career growth. Contribution: Migration is a long-standing human activity that is generally attributed to the quest for better living conditions. In the Old Testament, famine was hugely responsible for movement from one biblical residence to another. Nigerian society has witnessed a mass migration of its youths to other countries to escape the present economic situation in the country. A comparative study shows that many people migrate because of uncomfortable situations in their residence locations; there are challenges associated with migration, and migration usually leads to improved living conditions.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".