Stratigraphic synthesis of the Hudson Platform in Manitoba, Ontario, and Nunavut: Ordovician-Silurian
Bibliographic record
Abstract
The Hudson Bay Basin is the largest intracratonic basin in North America. Together with its smaller satellite basins, Moose River Basin to the south and Foxe Basin to the north, it forms the Hudson Platform. Geological study of this large, marine-dominated, area goes back to the 19th century when explorers started to describe rock units along the shore on many Arctic islands. Modern era geological description, including mostly stratigraphy and paleontology, started in the mid 20th century when numbers of geologists described the rock successions, onshore and offshore, resulting in local stratigraphic nomenclatures and frameworks hardly correlatable from one area to another. At the start of the initial Hudson Bay-Foxe Basins project and subsequent Hudson Bay-Ungava project of the Geoscience for Energy and Minerals program of the Geological Survey of Canada, one of the major research goals was to propose a unified or at least, a modern understanding of the stratigraphic succession over this large geological domain. This report presents the resulting stratigraphic framework based on 9 years (2008-2017) of new Ordovician to Silurian lithostratigraphic, biostratigraphic and chemostratigraphic, onshore and offshore research and data acquisition over the entire basin. A second report will focus on the aerially more restricted Devonian succession. The Ordovician to Silurian succession in northeastern Manitoba and northern Ontario, present in the Hudson Bay Lowland and Moose River Basin, is for the first time integrated in a single stratigraphic framework. To the north in the Hudson Bay Basin, Foxe Basin and Hudson Strait, stratigraphic nomenclatures are integrated in one new framework that is now correlated with the successions further to the south. Biostratigraphy and chemostratigraphy were both instrumental in the correlation of distant rock successions.
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 | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".