Geochemical and mineralogical dispersal in till from East Kemptville SN-ZN-CU-AG deposit, southwest Nova Scotia
Bibliographic record
Abstract
The use of glacial diamicton as a medium for exploration in southern Nova Scotia requires an in-depth understanding of the dispersal characteristics in this region to accurately interpret results. This study provides information on the type and abundance of indicator minerals and indicator/pathfinder elements that reflect the glacial erosion and dispersal of the East Kemptville Sn-Zn-Cu-Ag deposit. This information combined with knowledge of the local ice-flow history, can aid in the exploration of tin and other polymetallic deposits in southern Nova Scotia. Indicator minerals were hand picked from heavy mineral concentrates of till samples and checked with a scanning electron microscope. Indicator/pathfinder elements were determined for the <0.063 mm size fraction of till and analyzed using a total digest, lithium eta/tetraborate fusion/ICP-MS, as well as a partial digest, aqua regia/ICP-MS. Indicator elements recovered in till and dispersed from the East Kemptville deposit, includes the ore minerals cassiterite and wolframite, and gangue mineral topaz. Cassiterite was recovered in the 0.25-0.5 mm heavy mineral concentrate (>3.2 S.G.) in till 30 km southeast and topaz up to 50 km southeast of the East Kemptville deposit. All three indicator minerals were recovered in the coarse sand fractions of till (0.5-1.0 mm and 1.0-2.0 mm) overlying the deposit and when considered together, indicate close proximity to source. Indicator elements recovered in the <0.063 mm fraction of till include Sn, Cu, Zn, and Ag. Tin was found in elevated concentrations up to 50 km southeast of the deposit, along the previously defined tin dispersal train by Shell Canada Ltd. Pathfinder elements include W, Mo, Cs, Bi, As, Cd and In. Analysis of clast lithologies, indicator minerals, and review of airborne radiometric data over southwest Nova Scotia confirmed glacial dispersal to the southeast. Further sampling is recommended to refine dispersal patterns at depth and dispersal directions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".