Rethinking the Nigerian youth emigration surge: An invitation to patriotism-nurturing emigration
Bibliographic record
Abstract
Perhaps more than any time in recent history, the number of talented, young Nigerians leaving the country in search of better life prospects is preponderantly at its apogee. “The proportion of youth planning to leave Nigeria permanently increased from 36 percent in 2014 to 52 percent in 2018… [while] the number of international migrants from Nigeria…increased from around 450,000 in 1990 to 1.4 million in 2019” (Adhikari, Clemens, Dempster, & Ekeator, 2021, July 19). From the Canadian Federal Skilled Worker’s Program, the various U.S. green card pathways, to studying abroad in Asia, Australia, Europe and South Africa, Nigerian youths seek myriad of ways—sometimes casting caution to the wind—to rescue their future from the limitation-perpetuating vicissitudes that plague the youth demography in contemporary Nigeria.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".