Effects of past management on ice storm damage in hardwood stands in eastern Ontario
Bibliographic record
Abstract
The 1998 ice storm caused damage to forests across much of eastern North America. One of the information needs expressed by landowners and the broader forest community in eastern Ontario was an assessment of the effect of past management on degree of damage in hardwood stands. Ice storm damage was assessed in managed and unmanaged permanent sample plots established prior to the ice storm. In addition, 1587 temporary sample plots established after the 1998 ice storm were used to examine the effect of basal area, stand composition, stand location and tree size on degree of ice damage. Permanent sample plot results showed no significant difference in degree of damage between managed and unmanaged hardwood stands that experienced light to moderate damage in eastern Ontario. Chi-square analysis of temporary sample plots showed that the damage varied with location (township). There was some association with stand type (intolerant hardwood, tolerant hardwood, mixed hardwood/conifer and conifer), stand basal area and tree size. Implications for management are discussed. Key words: ice storm damage, past management effects, hardwoods
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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 | 0.001 |
| 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".