Fur, Gold, and Settlement: The Building Blocks of Range Management in British Columbia
Bibliographic record
Abstract
he 2012 annual meeting of the Society for Range Management is a partnership of the Idaho and Pacifi c Northwest (PNW) Sections representing a combined area of about 1.3 million square miles, or one-third the size of Canada or the United States.Together with the natural resources, the meeting theme of history, culture, and tradition produces the building blocks of our rangelands and their management.British Columbia is Canada's most westerly and third largest province.It occupies about 944,735 km 2 (364,764 square miles) between the 49th and 60th parallels.The landscape is dominated by rugged mountain belts, river valleys, and plateaus and by plains in the northeastern corner.Volcanism and repeated continental glaciation have formed the skeleton of today's landscapes.Lava fl ows and cliffs, glacial drift, scoured surfaces, steep rocky slopes, and colluvial, fl uvial, and aeolian deposits all form components of the provincial landscape.This variation is refl ected in ranges of climate, soils, plant, and animal resources.Climates span from cool, moist, and mountainous to marine, Mediterraneanlike, semiarid, alpine, and subarctic.Soils utilized for crop and livestock production range from moderately well-developed mineral soils to fully saturated organic soils and those containing permafrost near the soil surface.Soil textures range from coarse and well-drained sands or gravels to dark, fertile loams.Ranching and rangeland management have a long history in the province, originating with European discovery of "riches" within the wilderness and evolving to recognition and management for multiple use.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".