Bibliographic record
Abstract
Fox, C. A. and Tarnocai, C. 2011. Organic soils of Canada: Part 2. Upland Organic soils. Can. J. Soil Sci. 91: 823-842. Soils from upland moderately well-drained environments with thick accumulations (>10 cm over lithic contact; >40 cm over mineral soil) of folic materials (forest materials, branches, roots, and other non-wetland materials) are classified within the Folisol great group in the Organic Order since the 1987 revision of the Canadian System of Soil Classification. The Folisol great group correlates to Folist in Keys to Soil Taxonomy and Folic Histosol in World Reference Base for Soil Resources (FAO). Two subgroups - Hemic and Humic Folisol - account for most Folisols addressing the state of decomposition of folic materials. The Lignic and Histic Folisol subgroups identify specific kinds of folic accumulations. Folisolic soils can occur throughout Canada, in forest, heath, and alpine ecosytems with cool, moist, humid environments, but are most prominent within the Pacific Maritime Ecozone; areal extent in Canada is ~12 505 km2. The main genetic process is the accumulation and decomposition of the folic materials that lead to distinct F and H horizons. Recommendations for research needs are presented to address outstanding taxonomic questions for: 1. Classification of Folisols as a separate soil order; and 2. Taxonomic protocols for lowercase suffixes for the L, F and H horizons and the need for enhanced humus form classifications. Some of the historical proposals to address these issues are discussed. Folisols should be considered extremely sensitive environmentally because of their markedly different genetic development being dependent on thick accumulations of folic materials, their limited and unique distribution in Canada, and their importance for forest sustainability.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.021 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".