Polyphase glacial dynamics and clast dispersal patterns in glaciofluvial and glacial sediments in north-central Quebec, with application to diamond exploration
Bibliographic record
Abstract
The regional dynamics of shifting ice-flow directions and ice-divide migrations were estab-lished in the Saindon-Cambrien corridor of north-central Quebec by two independent means: 1) the measurement of crosscutting striations; and 2) the glacial dispersal patterns of distinctive lithological markers from outliers of the Sakami Formation. Clasts from two outliers were successively dispersed to the north-northeast, northwest, and west-southwest. They form composite dispersal trains consisting of 200 km long ribbon-shaped trains toward the west-southwest and palimpsest trains caused by the westward re-entrainment of dispersal trains formed during earlier flow phases. Widespread evidence of basal sliding and abrasion recorded by striations associated with successive flow systems, together with the development of long dispersal trains, indicates that protracted warm-based conditions prevailed in north-central Quebec. This improved understanding of glacial dynamics and dispersal in the core region of the eastern Laurentide Ice Sheet helps us to interpret the distribution of legacy kimberlite indicator mineral data sets in eskers and to assess the diamond prospectivity of the Saindon-Cambrien corridor.
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 | 0.002 | 0.002 |
| 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) | 0.003 | 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".