Ending Gas Flaring in the Nigerian Oil and Gas Industry: The Need for Strict Regulatory Enforcement
Bibliographic record
Abstract
Environmental pollution arising from gas flaring constitutes a major concern among the international community, particularly as a result of the negative impact it brings to society, environment, and economy. In the last 60 years, multinational oil companies operating in Nigeria have consistently flared associated natural gas. This paper critically examines the extant legal frameworks for regulating gas flaring within the Nigerian oil and gas industry, as well as other efforts made by the federal government towards ending gas flaring in the country. The effects of gas flaring on the inhabitants of the Niger-Delta region of Nigeria (human and environment) are discussed, then an overview of the challenges militating against ending the menace of gas flaring is provided. The paper contends that unless there is strict enforcement of anti-gas flaring regulations by the regulating agencies of government with stiff punishments and fines for erring oil companies, gas flaring will not abate. Recommendations are, therefore, proffered for combating gas flaring in the country.
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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 | 0.014 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.012 | 0.010 |
| Insufficient payload (model declined to judge) | 0.001 | 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".