Exploring Attempts at Judicial Resolution of the Nkonya-Alavanyo Communal Conflict in Ghana
Bibliographic record
Abstract
Abstract While the literature on the Nkonya-Alavanyo conflict references litigation and its apparent ineffectiveness in resolving the conflict, there is a paucity of detail about this litigation. This paper contributes to a more holistic comprehension of the discourses structuring resolution attempts in this conflict, with lessons for the resolution of communal conflicts generally. Drawing on archival data, media reports, and field interviews, we examine the trajectory of the Nkonya-Alavanyo conflict in the Ghanaian judicial system as an example of an intractable communal conflict that has defied legal attempts at resolution. We argue that judicial attempts at resolving the conflict have been ineffective because the resultant juridical discourse is polysemic and – to the extent that the non-negotiable value of justice is a factor in the conflict – is subject to divergent articulations. Second, we submit that the juridical discourse competes with State, civil society, and partisan articulations that do not privilege judicial decisions, with State discourse increasingly being one of militarisation.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".