Dysfunctional State and Human Rights Violations in Nigeria: An Assessment of President Buhari’s Administration (2015-2023)
Bibliographic record
Abstract
Human rights violations remain a historical issue. Thus, exploring this concern amidst the dysfunctionality of the state is more alarming considering that political terrain could serve as a breeding and conducive atmosphere for further human rights violations. This paper explores the nexus between the dysfunctionality of states and its implications on human rights violations in Nigeria. Using secondary data and thematic analysis, we more specifically focused on human rights violation cases in the two terms of office of President Mohammadu Buhari (2015- 2023). The paper explored the state of dysfunctionality and the violation of human rights during this period. The findings show there were violations of socio-economic and cultural rights, freedom of the press, freedom of movement, right to peaceful demonstration, and freedom of gathering and association, in Nigeria during President Buhari's administration. The paper concluded that for citizens’ rights to be adequately protected, the causal factors of a dysfunctional state must be addressed to avoid perverseness and continuous violation of human rights. Recommendations were made in favor of a newly negotiated social contract.
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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 | 0.002 | 0.004 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".