Indicator mineral content and geochemistry of till around the Peddie kimberlite, Lake Timiskaming, Ontario
Bibliographic record
Abstract
This report presents results of till sampling in the vicinity of the Peddie kimberlite, Bucke Township, in the Lake Timiskaming kimberlite cluster of northeastern Ontario. Thirty till samples were collected (mainly south) of the Peddie kimberlite to document the nature of glacial dispersal from the kimberlite, using both indicator minerals and till geochemistry. Most of the kimberlite indicator minerals in till were found in the finest of the three size fractions (0.25 to 0.5, 0.5 to 1.0 and 1.0 to 2.0 mm) of heavy mineral concentrates examined. Till in the vicinity of the Peddie kimberlite contains a distinctive kimberlitic geochemical signature defined by Ni, Cr, Nb, and Ta, which is most apparent in the coarse to very coarse sand (0.5 to 2.0 mm) and the silt+clay (<0.063 mm) fractions. Two dispersal trains in till were detected near the Peddie kimberlite. One short train immediately down-ice of, and derived from, the Peddie kimberlite is defined by the minerals olivine and Mg-ilmenite, with elevated concentrations of Ni, Cr and Nb. A second dispersal train 800 m southwest of the Peddie kimberlite and trending southeast, is defined by abundant Mg-ilmenite and Cr-pyrope, and elevated concentrations of Nb, and Ta. This second dispersal train is likely derived from the Gravel kimberlite 4 km up-ice (northwest) and/or an unknown kimberlite.
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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 | 0.002 | 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".