Soil and Water Conservation Advances in the Semiarid Northern Great Plains
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
This chapter deals with the semiarid Northern Great Plains (NGP), which includes parts of Montana, North Dakota, South Dakota, Wyoming, Nebraska, Alberta, and Saskatchewan. It discusses and illustrates how advances in soil and water conservation technology have evolved to improve precipitation use and to develop sustainable agricultural systems that are resilient for the NGP. The chapter presents an example to demonstrate that more intensive agriculture is often more sustainable than low input agriculture. Recent dryland cropping systems research efforts in the NGP have focused on the elimination of summer fallow, with its negative effects on soil quality and its inefficient soil water storage. To more efficiently use precipitation and energy from the sun in the future, people will need to develop techniques that not only control soil erosion and conserve water, but enhance the soil resource.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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