Ice damage impacts on the health of the northern New York State forest
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Detailed crown condition information, including numbers of broken branches ≥ 5 cm diameter, broken tops, and healthy branches, were recorded for 5434 living trees > 9 cm dbh from 603 ten-basal-area-factor prism plots (three per forest stand) at 201 random points (stands) throughout the ice damage region of northern New York State. Twenty five percent of the sample stands had ≥ 20% branch breakage. Bigtooth aspen, red oak, red maple, and white pine had the most breakage. Comparison of potential mortality of trees associated with ≥ 75% ice damage (severe damage) to baseline (predicted) mortality to maintain the existing forest structure suggests that ice damage may alter the health of 18% of the forest stands but this is not sufficient to alter the health (sustainability) of the larger forest system. Key words: ice storm, forest health, sustainability, growth, mortality, dbh classes
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it