Rhythmic Till Sedimentation: Evidence for Repeated Hydraulic Lifting of a Stagnant Ice Mass
Bibliographic record
Abstract
Abstract The youngest sedimentary facies exposed in erosional hummocky terrain in south-central Alberta, Canada, is composed of alternating beds of massive silty clay diamicton, and sorted sand and/or silt. Diamicton beds are similar in thickness (5-20 cm), both laterally and vertically, within the sequence, and sedimentary structures and consistent clast orientations support a subglacial origin for both the diamicton and the sorted sediment. Alternation between diamicton and sorted strata document rhythmic sedimentary sequences: deposition of melt-out till followed by current deposition. Laterally extensive sorted beds indicate that the currents responsible for sand and silt deposition must have flowed as a sheet. This flow was shallow, no more than 20 cm, indicated by scours below boulders that were suspended from the base of glacial ice. Sheet flow requires that the water was stored beneath the ice prior to drainage. Consequently, some of the diamicton may have been deposited by rain-out through the shallow stored water and, hence, each diamicton bed may represent a combination of direct melt-out onto the bed and rain-out through the water column. Inferred cycles of water accumulation and drainage may have been annual.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".