Aerial sketch-mapping of the 1998 ice storm in eastern Ontario
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
The 1998 ice storm in eastern Ontario was quantified using aerial mapping to determine the geographic area affected, and the severity of damage to the forests. Prior to mapping a reconnaissance flight was used to establish methodology. Mapping was accomplished by experienced technicians flying in a helicopter, 60–100 m above the canopy. Damage was sketch-mapped onto topographic maps then digitized using a geographical information system. Remotely sensed ground cover data were used to remove non-forested and sparsely forested areas from map polygons, to better estimate the area of affected hardwood forests. Damage to conifers was sporadic and occurred as small pockets of 1–5 ha. These were mapped as point data. Comparisons to ground plot measurements made in the spring showed the aerial mapping to be accurate. Key words: sketch-mapping, aerial survey, ice storm
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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