Organic Soils of canada: Part 1. Wetland Organic soils
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
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 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 it