Impact of a major ice storm on an old-growth hardwood 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
We quantified the amount of woody biomass and volume lost in an old-growth hardwood forest at Mont St. Hilaire, Quebec, as a consequence of a major ice storm. The storm of January 1998 brought down 19.9 (air-dried) metric tons or 33.6 m 3 of woody debris per hectare. This is about 7-10% of the total aboveground biomass in this forest before the storm and is about 10-20 times greater than the annual production of woody litter typical for temperate deciduous forests in northeastern North America. The woody biomass lost is the greatest recorded for any ice storm. The impact of this ice storm ranks among that of the most damaging windstorms and hurricanes recorded in forested landscapes anywhere.Key words: glaze ice, forest disturbance, forest damage, tree biomechanics, forest dynamics, forest productivity.
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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