Review of till geochemistry and indicator mineral methods for mineral exploration in glaciated terrain
Bibliographic record
Abstract
Appendix 5-Photo 1. Photograph of mountainous terrain in Fraser Plateau of south-central British Columbia, in western Canada. In this type of terrain, till can be sampled at higher elevations from thin till veneers (Tv) and thicker till blankets (Tb) on valley walls and from thick sediment sequences in valleys filled with till and alluvium (A), using overburden drilling. Appendix 5-Photo 2. Oblique photo showing an area affected by marine incursion near Baker Lake in Arctic Canada. The thick black dashed line indicates the inland limit of marine incursion. Till unmodified by wave action can be collected above this limit (west side of photo). Till surfaces topographically lower than this limit may be significantly reworked and winnowed by waves and be overlain by a bouldery mantle or beach shingles of poorly sorted debris (washed till). Raised beach sediments derived from winnowed till are not suitable sample sites because of significant reworking of till and significant transport distances of sediment in longshore currents. To the right side of the photo, where glaciomarine sediments are thick, till samples must be collected from beneath the cover sediments by digging holes or using deeper till sampling methods. Appendix 5-Photo 3. Oblique photo showing an area affected by glaciomarine incursion within the boreal forest near Gillam in central Canada. The white dashed line indicates the limit of glaciomarine incursion. Till unmodified by wave action can be collected above this limit (west side of photo). Till surfaces topographically lower than the marine limit may be significantly reworked and wave-washed and be overlain by a bouldery mantle, or beach shingles of poorly sorted debris (washed till). To the right side of the photo, where glaciomarine sediments are thick, till samples must be collected from beneath the sediments by digging holes or using other deeper till sampling methods. Photo by Michelle Gauthier.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".