Extractive sector governance: does a nexus of accountability render local extractive industries transparency initiatives ineffective?
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
Purpose The purpose of this study is to examine the Nigerian Extractive Industry Transparency Initiative’s (NEITI) ineffectiveness in delivering public accountability to Nigerian citizens. Although this failure is recognised in prior literature, the authors contend that NEITI’s role is obscured by one-sided links to external factors. Design/methodology/approach The conceptual framework presented in this study is built around Dillard and Vinnari’s (2019) distinction between different accountability systems and Brown and Dillard’s (2020) complimentary insights on the technologies of hubris and humility. The analytical framework draws from Grant and Keohane’s (2005) modes of accountability, which the authors use to articulate conflicting accountability demands (to-whom and for-what) of NEITI’s operating relationships. Combined, the authors analyse official documents, media, reports and interview responses from members of NEITI’s National Stakeholders Working Group. Findings This study surfaces a variety of intersecting interests across NEITI’s operational relationships. Some of these interests are mutually beneficial like that of Donors and the Extractive Industries Transparency Initiative. Others run counter to each other, such as NEITI’s relationship to the Presidency which illustrates a key source of NEITI’s ineffectiveness. In discussing these interests, the authors articulate their connection to NEITI’s design as an accountability system and its embedded limitations. Originality/value The authors provide incremental understanding of prior insight regarding NEITI’s ineffectiveness by drawing attention to its fundamental design as an accountability system and its failure to deliver public accountability. To illuminate these failures, the authors also map NEITI’s competing accountability demands – the nexus of accountability – to demonstrate the complex socio-political reality within which NEITI is expected to operate. The authors posit that NEITI’s ineffectiveness has as much to do with NEITI itself, as it does with external factors like the quality of information disclosed and the unique Nigerian context.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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