Ten-Year Response of Sugar Maple–Yellow Birch–Beech Stands to Selection Cutting in Québec
Bibliographic record
Abstract
Abstract Experimental blocks were established in five regions of southern Québec to determine the response of hardwood stands to selection cutting. The blocks contain five control stands (no cut) and five treated stands, composed mainly of sugar maple in association with yellow birch and American beech. Treated stands were harvested using single tree selection to a residual density varying from 16.8 to 21.2 m2. Results obtained 10 yr after treatment demonstrate that the annual gross growth rate was not significantly different between treated and control stands. However, net annual growth rate was higher in four out of five cut stands, because the annual mortality rate was less in these stands than in controls. Cutting significantly enhanced the growth of stems with an initial diameter at breast height (dbh) of 10 to 28 cm and favored the development of sugar maple saplings in all blocks and yellow birch saplings in three blocks. North. J. Appl. For. 18(4):119–126.
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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 | 0.000 | 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 | 0.001 | 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".