Bibliographic record
Abstract
The Marmot and Streeter experimental watersheds were established to provide forest-cutting options to maximize water yield within the Saskatchewan River headwaters. Clear-cut harvesting of 21 % of the area of the Cabin Creek subbasin of Marmot in 10-ha com mercial-sized cut blocks increased annual water yield by 35. 7 dam3, 6 % greater than predicted if left uncut. This represents an increase of 79 mm in the yield from the clear-cut patches. Erosion was not a problem on the stable soils of Cabin Creek; neither did suspended sediment load increase as a result of this timber harvest. Clear-cutting 50 % of the vegetated portion of the West subbasin of Streeter in a pattern designed to augment snow accumulation and retention of snow on-site increased water yield from a small contact spring, during April through October, by 6.3 dam3, 175 % more than predicted if left uncut. More importantly, flow continued throughout the summer of 1977, the second-driest year on record in southern Alberta, even though predicted flow was zero if left uncut. These results, when coupled with those from similar experiments in Alberta and the United States, indicate that I-ha clear-cut patches with maximum dimensions of 4-6 tree-heights across would maximize water yield from either subalpine or foothills forests.
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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 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.500 | 0.155 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".