The Nalunaq gold prospect, South Greenland: test mining for feasibility studies
Bibliographic record
Abstract
The Nalunaq narrow-vein gold prospect is situated 40 km north-east of Nanortalik, the southernmost town in Greenland, 6 km inland from the fjord Saqqaa (Fig. 1). The exploration licence is held by Nalunaq I/S, a company jointly owned by Crew Development Corporation, Canada (67%) and NunaMinerals A/S, Greenland (33%). A pre-feasibility study of March 1999 by an independent mining consulting company commented positively on the Nalunaq prospect (Nalunaq I/S, personal communication 1999). However, assessment of the sample database demonstrated considerable variation in grade estimates depending on the use of drillcores, chip or saw-cut samples as well as the capping levels (reducing the highest assay values to a fixed value). To advance this project to the feasibility level, the pre-feasibility study stressed the need for improved grade verification and demonstration of grade continuity. In preparation for a feasibility study, a Can$ 9 million underground test mining and bulk sampling programme was executed during the summer 2000 field season. Strathcona Mineral Services Limited (Canada) designed the programme in conjunction with Nalunaq personnel. This report focuses on the field aspects of the programme; processing of field and laboratory data is still in progress (January 2001).
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".