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
Abstract Soil erosion is one of the most serious environmental concerns worldwide. Continued soil erosion can result in degraded soil quality and ultimately reduced crop yields and profitability. In addition, eroded soil particles and attached nutrients, pesticides, pathogens, and toxins, transported off‐site, may contaminate surface water and air quality. In cultivated fields, soil erosion can be caused by water, wind, or directly by tillage. Individual soil erosion processes have characteristic signatures on different landform elements across the landscapes. Observed soil erosion in a field is the integrated result of all forms of soil erosion processes and their interactions. Agronomic measures, soil management, mechanical measures, and other soil conservation practices have been developed and used to control the adverse effects of soil erosion – influencing either the erosivity of the erosion forces or the erodibility of the soil landscape, or both. However, soil conservation practices developed for one erosion process do not necessarily work well on other erosion processes. The selection and implementation of soil conservation practices need to account for all erosion processes if we are to design environmentally sustainable systems.
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) | 0.005 | 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