Bibliographic record
Abstract
- ii-Executive Summary The Variable Retention Windthrow Monitoring project has been ongoing for five years, the first two years as a pilot study. The first year of the project included the eastern portion of Weyerhaeuser’s West Island Timberlands in south central Vancouver Island and the Queen Charlotte Island Timberlands. The second year focused on the Klanawa and Walbran watersheds in West Island Timberlands, Port McNeill Timberlands and North Island Timberlands. In the third year, the study expanded to include the Sprout Lake portion of West Island Timberlands, South Island Timberlands and Stillwater Timberlands. New plots were also established in North Island Timberlands and the Queen Charlotte Islands. The fourth year of the study saw the establishment of new plots in variable retention harvest units at North Island Timberlands, Port McNeill Timberlands and Stillwater Timberlands. Re-sampling took place on the majority of the pilot study sites that had experienced less than two winter wind seasons at the time of the initial sampling. During the fifth year of the
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.748 | 0.648 |
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".