Poverty in the Human Rights Jurisprudence of the Nigerian Appellate Courts (1999–2011)
Bibliographic record
Abstract
Abstract The major objective of this article is to examine the extent to which the human rights jurisprudence of the Nigerian appellate courts has been sensitive and / or receptive to the socio-economic and political claims of Nigeria's large population of the poor and marginalized. In particular, the article considers: the extent to which Nigerian human rights jurisprudence has either facilitated or hindered the efforts of the poor to ameliorate their own poverty; the kinds of conceptual apparatuses and analyses utilized by the Nigerian courts in examining the issues brought before it that concerned the specific conditions of the poor; and the key biases that are embedded in and shape Nigeria's jurisprudential orientation. The line of cases analysed in the article indicate that the Nigerian appellate courts, as elsewhere, possess great capacity, for good or ill, to impact public poli c y in the field of poverty reduction.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".