Bibliographic record
Abstract
In Part II of this volume, the four chapters discuss the patterns of glacial erosion, landform development, and glacial and marine sediments. Together these chapters constitute an important source of information on the nature of glacial erosion and the rate or amount of glacial erosion during the Cenozoic. Mapping the patterns of glacial erosion across Baffin Island and surrounding areas ( Chapter 3 ) indicates that glacial scouring is confined to the terrain below c. 350 m asl. The high upland surfaces are primarily unscoured although there is limited evidence for glaciation in the form of striations and ice-molded landforms. Within these high uplands, fiords and valleys penetrate inland--these have been sites of active glacial erosion, although how much of the typical fiord from is associated with glacial erosion and how much is a result of structural style? The LANDSAT mapping of glacial landforms indicates that the major areas of erosion in the eastern Canadian Arctic occur in the lowlands where the ice would be thickest and basal temperatures probably reached the pressure melting point. Bedrock erosion from these areas would have led to the production of glacial sediment, however, the amount of glacial sediment within the areas of scour is sparse. The lightly scoured uplands intervene along the glacial flow paths that link the areas of heavy scouring with the fiords and waters of the east coast. Interpretation of the landforms, and glaciological modelling suggest that the ice was cold-based at elevations greater than 350 m, hence glacial sediment from the lowlands to the west would have to be transported englacially prior to their release by bottom or surface melting in the fiords. The isochrones of reconstructed ice sheets indicate that the rate of sediment transport would be slow.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.150 | 0.094 |
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".