Climate-related information sources and the adaptation decisions of women crop farmers in the Guinea Savannah Zone of Ghana
Bibliographic record
Abstract
This study examines women crop farmers’ perception of climate variability and change, access to climate-related information, and their farming practices. Set in the Lawra Municipal District of the Upper West Region, the study uses data from surveys with 240 women farmers, complemented by focus group discussions and key informant interviews. The results reveal that women crop farmers generally observed significant temperature and rainfall changes consistent with long-term climate data. They identified human activities such as deforestation and poor agricultural practices as primary causes of climate change. However, a few cited other causes such as ‘the wrath of God’ or ‘natural phenomena,’ highlighting a need for improved climate education. Sources of climate information varied by community, with non-governmental organizations (NGOs), radio, family and friends, and farmer groups, being the most prominent. Notably, access to information was influenced by demographic factors such as age, education, and marital status. Financial constraints and inadequate storage facilities emerged as significant barriers. This study highlights the critical need for targeted education and interventions to enhance climate information accessibility and support adaptive capacity among women farmers. Addressing gender-specific barriers and improving resource access can enhance resilience and sustain livelihoods in the face of climate variability and change.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".