Facies and ground‐penetrating radar characteristics of coarse‐grained beach deposits of the uppermost Pleistocene glacial Lake Algonquin, Ontario, Canada
Bibliographic record
Abstract
Abstract The lithofacies of the uppermost Pleistocene (ca11 800 to 10 400 14C yr bp), cold‐temperate, coarse‐grained beach deposits of Lake Algonquin, the precursor of the present Lake Huron of North America, have been studied and interpreted based on analogous features of modern beaches from the same region. Ice foot and ice‐cementation develop during winter but, unlike Arctic beaches, ice‐related sedimentary features are seldom, if ever, preserved in the Pleistocene and recent deposits of the Great Lakes. Instead, the deposits retain the typical characteristics of wave‐dominated, pure gravel and mixed sand and gravel beaches, there including the classical subdivision of infill zone, swash zone/sand run, imbricated zone, coarse flat‐clast zone and coastal dunes. These zones form a regular succession on the surface of many modern beaches; however, they seldom occur as quasi‐complete vertical successions in older deposits. In the studied uppermost Pleistocene deposits, the various components are separated vertically by erosional contacts (bounding surfaces) readily recognizable on working faces of large sand and gravel pits and mappable in the subsurface by ground‐penetrating radar. The lithofacies are sufficiently diagnostic to allow recognition of depositional settings, and the lithofacies architecture allows the deciphering of important geological events, such as: (i) local input of fluvial material onto the shoreface, where it was partially reworked by waves and moved onto the beachface; (ii) occurrence of major storm events; and (iii) repeated rapid transgressions and regressions typical of the glacial‐lake precursors of the modern Great Lakes.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".