Using erosion associated with glaciovolcanic features to document the existence of pre-LGM ice-sheets: examples from the Kawdy Plateau, northern British Columbia
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
One of the most significant difficulties with understanding terrestrial Pleistocene climate change is that the depositional record of ancient ice sheets is frequently destroyed by successive glaciations. Given their resistance to erosion, glaciovolcanic features provide unique opportunities at which to look for evidence of multiple glaciations. Evidence from the Kawdy Plateau (KP) region of northern British Columbia is consistent with the presence of multiple ice sheets covering the Canadian Cordillera over the past 2 Ma and derives from two sources: features interpreted as having formed by glacial scouring of bedrock, and the state of preservation for six glaciovolcanic edifices (Kawdy Mountain, Tutsingale Mountain, Nuthinaw Mountain, Meehaz Mountain, Tanker tuya, Horseshoe tuya) located on the plateau.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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