Quaternary geology of Howard’s Pass and applications to drift prospecting
Bibliographic record
Abstract
The Quaternary geology of Howard’s Pass was studied by creating a 1:50 000-scale terrain inventory map and by examining the ice-flow history. Four stages of ice-flow occurred in Howard’s Pass during the late Wisconsinan. Ice growth from local cirques was followed by the development of an ice divide to the east. With continued ice sheet growth, the ice divide either migrated or a second divide grew to the southwest. Deglaciation occurred in two phases, with initial thinning before stagnation. This last phase of ice-flow is important for drift prospecting in the valley bottoms. Conversely, drift transport directions at higher elevation are controlled by earlier ice-flow stages. The potential of till and mobile-metal-ion geochemistry for drift prospecting in Howard’s Pass was examined by conducting a survey over a known deposit. Promising results from this survey support these methods as possible tools for future exploration in other areas of Howard’s Pass.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".