Youth Unemployment in Nigeria: Causes and Related Issues
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.
Bibliographic record
Abstract
This article has highlighted the causes of youth unemployment in Nigeria. It has observed that many young people in Nigeria are redefining themselves by creating their own social worlds such as youth streetism and gangsterism because of unemployment occasioned by deepening socio-economic crises. The study has identified increasing population growth, high degree of geographical mobility, lack of employable skills, non involvement of youth in decision making processes and the perception of policy makers and the youth themselves about employment as the major causes of youth unemployment in Nigeria. It has thus recommended that young Nigerians should be trained to possess skills that are congruent with the real labour market demands. The youth should be involved in all the decision-making processes so as to minimize the costs of their exclusion and to ensure the successful implementation of youth policies and programmes. Credit and loan schemes should be put in place to enable young Nigerians secure loans to set up their small enterprises. Sincere policies should be formulated to enable youth pursue sustainable livelihoods. Keywords: Youth; Unemployment; Nigeria Resume: The abstract and keywords are being translated into French at present and will be added into the article later.
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 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it