Survey of forest regeneration in the Nimpkish Valley of British Columbia and recommendations for future management.
Bibliographic record
Abstract
Logging has proceeded continuously since 1915 in the Nimpkish valley. The cutting has been of the old-growth Douglas fir (Pseudotsuga taxifolia (Poir.) Britt, western red cedar (Thuja plicata Donn.), western hemlock (Tsuga heterophylla (RAF.) Sarg.) and balsam fir (Abies amabilis (Bougl.) Forbes. Many of the areas cut have become restocked naturally with various species of trees which are classified as second-growth. The excess of low-value trees and the slow rate of regeneration are not economically satisfactory. Since 1924 various plantations have been established. A study of the results of this natural regeneration and this artificial regeneration indicates practical methods for future procedure. Additional information comes from experiments that have been completed, and from those that are still in progress. The synthesis of the collected material and the silvicultural discourse form the basis for recommendations for future management of forestry operations in the Nimpkish valley.
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.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".