Oil Companies and Sustainable Community Development in the Niger Delta, Nigeria: the Issue of Reciprocal Responsibility and its Implications for Corporate Citizenship Theory and Practice
Bibliographic record
Abstract
ABSTRACT Most of the works that have explored the relationship between Corporate Citizenship (CC) initiatives and their contribution to sustainable community development in the Niger Delta area of Nigeria have been insightful. However, the question of reciprocal responsibility has largely been unaddressed. Similarly, disagreement persists with regard to the impact of oil multinational corporations' (MNC) CC initiative on governmental community development efforts and its implication for sustainable community development. Unfortunately, these gaps have allowed for a number of CC orthodoxies to emerge in the region with practical ramifications for community development. The findings presented here suggest that local communities accept and have a clear sense of what constitutes their reciprocal responsibility. In addition, there was limited evidence to suggest that oil MNCs efforts at community development affected governmental community development initiatives in the region. The paper concludes by considering the implications of its findings for CC theory and practice. Copyright © 2011 John Wiley & Sons, Ltd and ERP Environment
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".