A revised hydrostratigraphic framework model of Halton Till in the Greater Toronto area, Ontario
Bibliographic record
Abstract
Halton Till, mapped south of Oak Ridges Moraine from Niagara Escarpment eastward to Pontypool, has traditionally been inferred to represent a climatically induced readvance of late-glacial ice from Lake Ontario basin that deposited sandy drumlinized till. Basin analysis techniques, seismic profiling, outcrop and core logging, and downhole geophysics, are integrated with detailed mapping to revamp the sedimentary and stratigraphic framework for Halton Till. Integration of glaciological process permits a reinterpretation of Halton Till depositional models. Field and core data reveal Halton Till as a muddy, clast-poor diamicton with interbeds of graded sediment. It is transitional upward from Oak Ridges Moraine sand and gravel to units of graded sand, silt, and clay rhythmites, with interbeds of sand, gravel, and muddy diamicton. It may abruptly overlie stony, sandy Newmarket Till and cross-sections show that Halton Till sediment fills basin lows and thins across Oak Ridges Moraine sediment lobes. Halton Till sedimentary architecture and facies are reinterpreted within an oscillating, ice-marginal, glaciolacustrine depositional model. The transitional lower contact with Oak Ridges Moraine sediment and upward-fining into Halton Till sediment records waning flow and deposition within lower-energy, ice-marginal, glaciolacustrine environments. Glaciolacustrine sedimentation is indicated by diminishing (mud-rich) grain sizes and gradational sediment style. Rhythmically laminated mud, diamicton interbeds, and intraclasts indicate ponded, ice-marginal debris flow and semibuoyant ice loading. Paleoflow data indicate westward transport of fine sand and mud from an eastern channellized, high-energy, sandy Oak Ridges Moraine depositional setting. The Halton Till depositional model may be applicable to other muddy diamicton units in the Great Lakes basin.
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 | 0.000 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".