THE NATURE AND ORIGIN OF GROUND ICE IN THE HERSCHEL ISLAND AREA, YUKON TERRITORY.
Bibliographic record
Abstract
The nature of ground ice on Herschel Island reflects the geornorphic processes and thexmal conditions of the late Quaternary period. Field studies carried out from 1986 to 1988 investigated cryostratigraphic characteristics of ice-rich sections exljosed in retrogressive thaw slumps and coastal bluffs in the Herschel Island area of the Yukon Coastal Plain. Sediment and ice ~amples were analysed for moisture content, grain size, and ice petrography. Ground ice constitutes up to 60-70 % of the upper 10-12 m of permafrost. Melting of massive ground ice and ice-rich materials have produced numerous large retrogressive thaw slumps. The petrographic characteristics of 5 types of massive ground ice were determined, including: ice-wedge ice. buried snowbank ice, injection ice, segregated and glacier ice. Ice of glacial origin is tentatively identified in areas of glacially-thrust marine sediments. The presence of very large active and inactive ice wedges, together with ice-wedge casts, multi-stage and syngenetic ice wedges in deformed sediinents indicate a very long period of cold post-glacial conditions interrupted by one or two periods of deep thaw. The deformed nature of these materials reflect the glacial ice-thrust processes which formed the island and complicate cryostratigraphic interpretation. Resume La nature de la glace de sol dans l'ile Herschel traduit les conditions thermiques et les processus g6omorphologiques de la fin du Quaternaire. Des Ctudes de terrain sur les caractCristiques cryostrati-graphiques de coupes riches en glace, dCgagCes dans des glissements de terrain et des falaises littorales. ont
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".