PROMOTING SOIL CONSERVATION AND CONSERVATION AGRICULTURE THROUGH FARMER ASSOCIATIONS
Bibliographic record
Abstract
Farmers are central players in the promotion of soil conservation and conservation agriculture. In South, Central and North America, farmers have organized into associations to promote conservation agriculture and improve the management of soil, water and air. Two such organizations, the Confederation of American Associations for a Sustainable Agriculture (CAAPAS) and the Soil Conservation Council of Canada (SCCC) developed independent of each other, but now network with the objectives of enlarging this network into a global organization, so that all producers can learn from each other’s conservation achievements. Two case studies are presented. The first describes the remarkable successes of the CAAPAS network for promotion of no till agriculture for improved productivity, competitiveness, and sustainability in several Latin American countries. The second demonstrates how Canadian producers have organized into an effective, national soil conservation organization that is now working with government, policy makers and scientists to develop conservation agriculture into an effective strategy for the promotion of soil conservation and sequestration of soil carbon.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".