Farmer-Fulani pastoralist conflicts in Northern Ghana: are integrated landscape approaches the way forward?
Why this work is in the frame
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Bibliographic record
Abstract
Over the past 20 years, recurrent and violent conflicts between farmers and Fulani pastoralists have persisted in Northern Ghana. These conflicts mainly revolve around access to and utilisation of natural resources such as land and water. Conflicts of interest have led to the social marginalisation of the Fulani community, leading to their exclusion from formal landscape governance processes. This paper explores the prospects for better management of these conflicts and the potential for including Fulani pastoralists in landscape governance through the implementation of integrated landscape approaches. Based on a semi-systematic literature review and key informant interviews, we propose a categorisation of conflicts and potential causes and solutions. The experience of Burkina Faso in managing farmer-herder conflicts is presented to inform lessons for Ghana. We argue that adopting more inclusive landscape approaches, with a particular emphaisis on key principles, could contribute to reconciling diverging interests between farming and herding communities and help mitigate conflicts. This requires that constraints such as the negative and pervasive perceptions towards the Fulani, the neglect of pastoral activity in broader development processes, and the lack of inclusion of Fulani pastoralists in multi-stakeholder platforms and decision-making need to be urgently addressed.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it