Politics of Resource Control and Revenue Allocation: Implications for the Sustenance of Democracy in Nigeria
Bibliographic record
Abstract
The agitation for the control of resources by the oil producing states in the Niger-Delta area is one of the major challenges confronting the nation and our nascent democracy. This controversial issue has re-surfaced during the recently concluded National Conference held between April and August 2014. The delegates from the oil producing states (south-south) demanded for between 25.5% to 50% derivation funding, which was not approve by the conference members. This paper analyses the nature and scope of this agitation and its implications for the sustenance of democratic federal system in Nigeria. The problem of mass poverty and unemployment among youths in Nigeria coupled with collapse of infrastructure, environmental degradation and pauperization of land in the Niger - Delta due to the activities of oil companies were the factors responsible for the trend. The main thrust of the recommendations hinged on ensuring a reasonable and fair sharing formula for the country’s resources, and making adequate compensation to the people of the area through infrastructural development by both governments and the participating oil companies.
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.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| 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".