A look at the impact of a controlled traffic farming system on crop yields and soil physical properties on a newdale clay-loam and beresford silty-clay soil located in south-western manitoba
Bibliographic record
Abstract
Soil compaction can be defined as a reduction in porosity or an increase in bulk density resulting from external or internally applied forces (Alakukku, Laura, 2012). It is regarded with soil erosion, as the costliest and most serious environmental problem caused by conventional agriculture (FAO, 2003). Globally it is estimated that about 4% of agricultural lands or 64 million hectares are affected by compaction, with the majority of this associated with vehicular traffic (Flowers and Lal, 1998). The negative effects of soil compaction have been reported on nearly every continent in the world (Hamza and Anderson, 2005) and these effects have been shown to persist, especially at depth for periods of many years (Alakukku, 1996; Radford et al. 2007; Lowery and Schuler 1994; Logsdon et al. 1992; Hakansson et al. 1988).
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".