Normative Approaches to Ethnic Recognition and Accommodation:Their Applicability to the Nigerian Experience
Bibliographic record
Abstract
This article explores the central theme in the normative philosophy arguments of Michael Walzer; Charles Taylor; and Will Kymlicka and their applicability to the state building processes and constitutional politics in Nigeria. The main argument of these scholars is that, in a multicultural society, equality and justice; unity and stability are likely to prevail if state building and constitutional processes of a country recognises and accommodates ethnic diversity. Critically applied, the article observes that since liberal democratic values are not well rooted in the Nigerian body politics, the specificity of the Nigerian state would have to be recognised for the normative arguments to be completely applicable. Under the given, the article concludes that, strict application of the normative prescriptions in Nigeria’s multiethnic society could trigger escalating cycles of ethno-political tensions, institutional instabilities, and demand by groups for exit from the Nigerian state. Key words: Ethnic accommodation; Ethnic diversity; Ethnic recognition; National unity; Nigerian experience; Normative approaches; Political stability
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.045 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".