Aggregation and Organic Matter Storage in Cool, Humid Agricultural Soils
Bibliographic record
Abstract
The main objective of this chapter is to evaluate the potential for managing soil aggregation for the storage and sequestration of organic matter under cool, humid climatic conditions. As organic concentration appears to be relatively uniform across aggregate size fractions, the level of water-stable macroaggregation should provide an estimation of the amount of organic stored and physically protected in the soil, especially the labile fractions. A Beneficial effects of perennial forages on soil macroaggregation are well recognized. In some cases cover crops and rotation with a legume or a grass-legume mixture significantly improved soil macroaggregation. Agricultural management practices, such as use of perennial forages and organic amendments, can significantly increase soil macroaggregation and C storage. Generally, the C storage potential of cool, humid agricultural soils in eastern Canada is mainly associated with type of vegetation. The role of soil structure modification as expressed by aggregate degradation in the loss of soil organic C upon cultivation is still unclear.
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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 | 0.000 | 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) | 0.002 | 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 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".