ENDOGENOUS PERCEPTIONS AND MEASURES FOR AGROPASTORALISTS’ ADAPTATION IN THE SAHELIAN AREA OF BURKINA FASO
Bibliographic record
Abstract
The study was conducted to understand the perceptions and local adaptation strategies of rural sahelian communities in Burkina Faso to climate change on ruminant rearing practices. For this purpose, the study was carried out in the rural commune of Bani by collecting primary from semi-structured interviews with 143 producers and secondary data of temperature, rainfall and their spatial and temporal evolution from 2005 to 2016. Analysis of these data reveals that 67.13% of the producers are male and 32.86% female, with an average age of 55 ± 0.3 years. These respondents were agropastoralists with an average of 3.5 ha of cultivated land, using traditional seeds (100% of respondents) and improved seeds (58.7%) and rearing local breeds of ruminants. For climate change, respondents notified an increase in temperature and a decrease in rainfall that corroborates the analysis of the meteorological data collected. The consequences of climate change on livestock farmers' resources are food insecurity, lack of pasture, drought and low animal productivity. The local adaptation strategies applied by livestock farmers are the diversification of agro-sylvo-pastoral production (88.11%) and income-generating activities (70%). In the study area, diversification is the strategy adopted by agro-pastoralists to ensure food security and provide income to meet the daily needs of families.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".