A century of soil science at the University of Alberta: synergy between seeking to understand nature and striving to serve society
Bibliographic record
Abstract
A century of soil science at the University of Alberta: synergy between seeking to understand nature and striving to serve society 1As Bryn Levy stated in the 30 Dec. 2010 issue of the farm periodical "The Western Producer": "Today's soil scientists benefit from decades of painstaking work conducted by their forebears.[ : : : ] As a relatively young science, one of the first things that early soil scientists had to do was conduct extensive surveys to classify Canadian soils.[ : : : ] Many people were involved with the early development of Canadian soil surveys.Three names in Western Canada stand out: Joseph Ellis from the University of Manitoba, F.A. Wyatt from the University of Alberta and Arthur Joel from the University of Saskatchewan.All three undertook soil surveys in their respective provinces."Assuring concordance in soil descriptionsan essential part of soil survey, which provided the foundation for soil science in Alberta.
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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 | 0.016 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.029 | 0.031 |
| Scholarly communication | 0.032 | 0.007 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.009 | 0.013 |
| Insufficient payload (model declined to judge) | 0.011 | 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".