Remnants of a 1.55 Ga Hybrid Between Metasomatic Iron Alkali-Calcic and Unconformity-Related Uranium Environments in the Kiggavik Region, Nunavut, Canada
Bibliographic record
Abstract
Abstract Uranium mineralization in the Kiggavik, Bong, End, and Andrew Lake deposits (Thelon region, Nunavut) was preceded by host-rock albitization, brecciation, silicification, and hematization. Uranium mineralization comprises three stages, the first stage having three substages: (1) front-style (U1a; 1594 ± 95 Ma), (2) euhedral disseminated (U1b; 1553 ± 16 Ma), and (3) polymetallic and monometallic vein-hosted (U1c; 1553 ± 16 Ma). Uraninite, coffinite, and local brannerite mineralization is associated with visually and chemically apparent dehematization and iron removal (bleaching), which overprints earlier styles of alteration. Some U1 and U2 minerals record isotopic resetting/U remobilization events at 1440 ± 21, 1417 ± 17, 1276.4 ± 8.7, 1249 ± 33, 937 ± 24, and 274 ± 69 Ma. Paragenetically late U3 minerals associated with orange goethite-bearing alteration have very low lead contents, indicating recent (<1 Ma) formation or isotopic resetting. Although geochronology, structural controls, and some aspects of alteration and mineralization are broadly similar to basement-hosted unconformity-related uranium deposits, they are also consistent with metasomatic iron alkali-calcic uranium (MIAC-U)-style metallogenesis. This alternative model raises the prospect of a previously unrecognized MIAC district in central Nunavut.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 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) | 0.001 | 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".