Relationship between Natural Economic Resource and Vocational Choice among Nigeria Youth: Psychological Implications
Bibliographic record
Abstract
This study investigated the relationship between natural economic resources and vocational choice among Nigerian youth. The study grouped the country into three regions, eastern, western and northern regions. This study, first of its kind, explored vocational choice among Nigerian youth. Thirty-six participants, twelve from each region (6 men, 6 women) completed the semi-structured interviews and qualitative data collected was analyzed using a grounded theory approach. The findings presented a preliminary understanding of the relationship between natural economic resources and vocational choice among Nigerians. Qualitative interviews unveiled the presence of natural economic resources that provide vocations to Nigerians. Palms in the east provide the greatest vocational choice. Cocoa in the west provides the greatest vocational choice. Game reserve in the north gainfully employs people. Psychologically, people value the gift of nature in their locality. Finally through thematic analysis, the study revealed that things have changed with education, science and technology. Some Nigerians have become entrepreneurs by utilizing the natural resources prevalent in their environment. Entrepreneurs play an integral role in creating job opportunities and alleviate unemployment in Nigeria.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".