Rocks and minerals for the collector: Kirkland Lake - Rouyn-Noranda - Val-d'Or, Ontario and Quebec
Bibliographic record
Abstract
Occurrences of minerals and rocks are described for localities between Kirkland Lake, Ontario, and Val-d'Or, Quebec. The Kirkland Lake-Rouyn-Noranda-Val-d'Or area lies within the mineralized belt of Precambrian rocks extending from Timmins to and beyond Val-d'Or. The collecting area includes the Kirkland Lake gold mines, and the gold and gold-copper mines in the Rouyn-Noranda-Val-d'Or area. The area also contains deposits of lead-zinc, iron, nickel, copper, bismuth, molybdenum, and asbestos, and occurrences of beryl, spodumene, and pollucite. Minerals and rocks suitable for lapidary purposes include jasper, serpentine, gabbro, rhyolite, feldspar porphyry, and chrome-muscovite (fuschite) rock. Inactive mines and prospects constitute most of the collecting localities. Roadcuts furnish additional sites. In general, operating mines are not open to collectors. Some famous old mines, no longer accessible, are included for historical interest.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 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) | 0.113 | 0.014 |
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".