Agroforestry Nomenclature, Concepts and Practices
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Application of agroforestry practices responds to economic, environmental, and social issues common to all regions of the earth. In spite of an increasing awareness of Native American traditional agroforestry practices, in the United States and Canada agroforestry has mainly been viewed as a new science and set of practices tailored to address numerous sustainability issues associated with production agriculture. Agroforestry seeks to help bridge the gap between production agriculture and natural resource management. Four key criteria characterize agroforestry practices in the United States and Canada and distinguish them from other practices: intentional, intensive, integrated, and interactive. Six categories of agroforestry practices that embody the criteria are recognized in the United States and Canada by the Association for Temperate Agroforestry–AFTA: riparian and upland buffers, windbreaks, alley cropping, silvopasture, forest farming, and urban food forests. Agroforestry shares fundamental concepts and principles with regenerative agriculture, agroecology, and permaculture.
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.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it