Five-year Growth Response of a 41-year-old Yellow Birch Stand to Commercial Thinning
Bibliographic record
Abstract
Yellow birch (Betula alleghaniensis Britt.) is the second most harvested hardwood species in Quebec.Hardwood stands harboring this species are likely to yield high value products, and their proximity to inhabited regions facilitates a more intensive silviculture.Yet, little is known about the effects of silvicultural treatments such as commercial thinning on stands composed mostly of yellow birch.We set up an experiment in a 41-year-old yellow birch stand that arose after a clearcutting in 1971.The experimental design comprises four treatments: a control (no intervention); and light, moderate, and heavy commercial thinnings.After 5 years, results show that the thinnings had no significant effect on the net growth in basal areal of the stand.The treatments mostly led to an increase in the proportion of yellow birch and crop trees in the stand following the harvest targeting aspens and other less desired species.The smaller diameter trees near the trails showed the highest diameter growth response to the thinnings.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".