Kimberlite indicator mineral survey and ice flow studies in Boothia mainland (NTS 57A, 57B, 57C and 57D), Kitikmeot region, Nunavut
Bibliographic record
Abstract
Glacial history studies and analysis of heavy mineral separates from glacial sediments (till and eskers) were undertaken in theBoothia mainland area of central Nunavut. Mapping of surficial macroforms and glacial striae has shown a complex, four phase ice-flow history. From oldest to youngest, the ice-flow history entails: Phase 1 to the north, Phase 2 to the northeast, Phase3 to the east, and Phase 4 to the north. Late-stage, localized ice-flows were determined in some areas, especially around the Harrison Uplands. All of the regional ice-flow phases impacted on the final distribution of glacial erratics in till, but with varied influence, wherein Phase 2 to the NE and Phase 4 to the N in the southern part of Boothia mainland were the most significant glacial dispersal events. During Phase 2, glacial transport distances of greater than 100 km were determined for Paleozoic carbonates and Paleoproterozoic members of the Chantrey Group siliciclastic (pelites, orthoquartzites), and at least 20 km for the Paleoproterozoic marble member of the Chantrey Group. Kimberlite indicator minerals (including mantle ilmenite, forsterite, Cr-diopside, eclogitic and peridotitic (G9) garnets, chromite, perovskite and lyndsleyite) and visual gold grains were found in glacial sediments. Prospective zones for kimberlites or gold mineralization are outlined herein from heavy mineral analysis and knowledge of the ice-flow history.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".