Sphalerite and kimberlite indicator minerals in till from the Zama Lake region, northwest Alberta (NTS 84L and 84M)
Bibliographic record
Abstract
This report presents the results and interpretations of the heavy mineral assemblages and pebble lithologies of 19 bulk till samples collected in northwest Alberta, from the region of a sphalerite dispersal train originally reported by Plouffe et al. (2006a). Indurated pebbles in the 4-8 mm sized fraction of till dominantly consist of distally-derived bedrock lithologies: Canadian Shield rocks, Paleozoic carbonates, and quartzite. Three till samples contain mineralized clasts with visible pyrite and marcasite. Kimberlite indicator minerals (KIMs) in till, including Cr-pyrope, Cr-diopside and chromite are present in trace amounts (1 to 2 grains) in nine samples. Although the KIM counts are low, the samples with KIMs do cluster in the Zama Lake - Zama City area. The source, proximal or distal, is unknown and remains to be identified. Seven out of the 19 till samples contain sand-sized sphalerite grains, with the strongest anomaly consisting of 989 sphalerite grains recovered from a 34 kg till sample. The sphalerite is dominantly in the 0.25 to 0.5 mm fraction (900 grains) with smaller amounts (89 grains) in the 0.5 to 1.0 mm size range. The new data indicate that the sphalerite dispersal train first identified by Plouffe et al. (2006a) could cover an area of over 4000 km2. The bedrock source(s) of the sphalerite in till remains to be discovered.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".