Bibliographic record
Abstract
Farming God’s Way (FGW) is a type of conservation agriculture (CA) that re-interprets the CA principles of no tillage, mulching and crop rotation using biblical metaphors such as God doesn’t plow, God’s blanket, and the Garden of Eden. Through faith-based networks, FGW has spread throughout Sub-Saharan Africa, and beyond, as a development intervention for improving food security, adapting to climate change, and restoring soil productivity for resource-poor farming households. This research identifies and compares the production, sustainability and faith claims of FGW to ascertain which claims are contested. A qualitative study of Canadian program managers with responsibilities for CA or FGW projects in Africa and smallholding FGW farmers in Kenya is employed using semi-structured interviews and focus groups. Production-related claims of improved soil moisture and climate change adaptation are generally consistent among program managers, farmers and the literature, but social claims of increased labour demand on women and religious claims of faith enhancing CA are contested. Findings show that female farmers unanimously contest the claim that their labour for weeding is increased under FGW. Similarly, FGW farmers contest the claim that faith inhibits adoption or innovation on the farm, reporting instead that FGW connects faith to their vocation, transforms why and how they farm, and changes mindsets for adopting faith-based CA.
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 | 0.000 | 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 | 0.001 | 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 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".