Glacilacustrine environment of part of the Oak Ridges Moraine, Southern Ontario
Bibliographic record
Abstract
Glacilacustrine sediments in a 112 m core recovered from the Oak Ridges Moraine near Vandorf, Ontario are used to assess the environment at the time of deposition. Varves in the upper 23.7 m are of two types: thinner (20-110 mm) varves in groups of 29 and 23 at two levels. These are dominated by deposition of silt in summer, with lesser amounts of laminated silts and sands representing turbidity current deposition. Thicker (0.18-1.02 m) varves at the base and top of the deposit as well as in a group of 27 between the thin varves have a greater fraction in summer of coarser sediment deposited from gravity flows. Winter deposits of both are dominated by the clay- size fraction and most show at least one parting of silt or sand associated with periods of increased meltwater inflow during winter. Carbonate content varies from 25-55 % with the highest proportion in the thinner deposits in winter and in the summer deposits of thin varves. It is proposed that a large, deep (greater than 100 m at least in the early phases) glacial lake was dammed on the Oak Ridges Moraine between the retreating Simcoe and Ontario lobes to the north and south, respectively, and the Niagara escarpment to the west. This lake existed as a relatively stable feature for at least 100 years.
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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 | 0.002 | 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) | 0.001 | 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".