Organic Soils of canada: Part 1. Wetland Organic soils
Bibliographic record
Abstract
Kroetsch, D. J., Geng, X., Chang, S. X. and Saurette, D. D. 2011. Organic soils of Canada:Part 1. Wetland Organic soils. Can. J. Soil Sci. 91: 807-822. In the Canadian System of Soil Classification, the Organic order represents those soils that have developed from materials that are comprised primarily of plant tissue remains and includes both wetland Organic soils and upland Organic soils. This review focuses on the first group; the latter group is discussed in Fox and Tarnocai (2011). Wetland Organic soils can be subdivided into three great groups: Fibrisol, Mesisol, and Humisol, reflecting the degree of decomposition of organic material and the vertical arrangement of different organic horizons and other horizons. Wetland Organic soils are present in all regions of Canada and are commonly referred to as (unfrozen) peatland soils. Unfrozen peatlands with Organic soils cover approximately 75 5568 km2 (8.4%) of the land area of Canada. The two primary processes of formation of wetland Organic soils are paludification and terrestrialization. The major taxonomic issues identified for the wetland Organic soils concerns the lack of taxonomic protocols for limnic materials within the soil control section. This is an issue for those soil profiles in which the middle tier is dominated by, if not entirely composed of, deposited limnic materials. Further work is required to determine if these issues should be expressed at the great group or subgroup level of classification. Our understanding of the effects of management practices such as cultivation, tree removal, drainage, and peat extraction on soil properties needs to be translated into models of soil development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".