Reversing the ‘Resource Curse’ Phenomenon in Nigeria: An Assessment of the Nigeria Extractive Industries Transparency Initiative Act After a Decade
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
Abstract Natural resources endowment is a blessing to the endowed states due to their catalytic development-driving potential. The exploitation of the endowment should result in rapid socio-economic development. However, for most developing states, the blessing of these natural resources strangely tends to turn disadvantageous; a phenomenon that has been distinctly identified in the literature as ‘the resource curse’. This paper examines that phenomenon, using Nigeria as a case study given the serious environmental, political and socio-economic challenges occasioned by the country’s exploitation of its oil and gas endowment. The paper particularly considers the impact of the statutory intervention in Nigeria to reverse the trend through the instrumentality of the Nigeria Extractive Industries Transparency Initiative Act ( NEITI Act) 2007. The paper further explores what could be the most effective means of containing the said problems in light of their implications for the future of the country and its people.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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