Insecurity and Patterns of Foreign Direct Investment in Nigeria (1999-2014)
Bibliographic record
Abstract
This study examined the nature and trend of insecurity and patterns of Foreign Direct Investment (FDI) in Nigeria from 1999-2014 with a view to provide information on how insecurity affects the patterns of FDI in Nigeria. The study employed both primary and secondary data. Primary data were sourced through in-depth interviews conducted on purposively selected respondents from Ministry, Departments and Agencies (MDAs) of government who are directly involved in handling issues of security and FDI in the country; economic attaché of some selected embassies; foreign business organisations in the country and the academia with interest on FDI and security issues. Secondary data were sourced from academic journals, government publications, newspapers and magazines on variables such as FDI and insecurity. The study adopted the theoretical framework of liberal transnationalism of political economy perspective. Data were analysed using qualitative and descriptive methods. The result revealed that the nature and trend of insecurity negatively impacted on the patterns of FDI in Nigeria both in the oil and non-oil sector within the period under studied.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".