Pastoralism and Socio-technological Transformations in Northern Benin - Fulani Innovations in Pastoral Migration, Livelihood Diversification and Professional Association
Bibliographic record
Abstract
Pastoralists throughout Africa face increasing pressures. In Benin, governmental development policies and programmes in crop farming are changing power relations between herders and farmers to favour the latter. How are the Fulani pastoralists responding to these threats to their existence? Georges Djohy explores the dynamics in local use of natural resources and in inter-ethnic relations resulting from development interventions. He combines the approaches of science and technology studies – looking at the co-construction of society and technology – and political ecology – looking at the power relations shaping the dynamics of economic, environmental and social change – so as to throw light on the forces of marginalisation, adaptation and innovation at work in northern Benin. Having worked there for many years, Djohy has been able to uncover gradual processes of socio-technological change that are happening “behind the scenes” of agricultural development involving mechanisation, herbicide use, tree planting, land registration and natural resource conservation. He reveals how farmers are using these interventions as “weapons” in order to gain more rights over larger areas of land, in other words, to support indigenous land grabbing from herders who had been using the land since decades for grazing. He documents how the Fulani are innovating to ensure their survival, e.g. by using new technologies for transport and communication, developing new strategies of livestock feeding and herd movement, and developing complementary sources of household income. The Fulani are organising themselves from local to national level to provide technological and socio-cultural services, manage conflicts and gain a stronger political voice, e.g. to be able to achieve demarcation of corridors for moving livestock through cultivated areas. They even use non-functioning mini-dairies – another example of development intervention – to demonstrate their modernity and to open up other opportunities to transform their pastoral systems. This book provides insights into normally hidden technical and social dynamics that are unexpected outcomes of development interventions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".