GEOART: a contribution to Geo-Mapping for Energy and Minerals (GEM-Energy) Program and geoscience outreach
Bibliographic record
Abstract
The Geological Survey of Canada, through the Geo-mapping for Energy and Minerals Program, is helping to increase economic prosperity of northern Canada by providing critical geoscience information required for long-term investment, targeted exploration, sustainable development and management of new energy and mineral resources. As a contribution to this program and outreach initiative to increase public awareness and interest in geoscience, seven paintings by the author depict the surficial geology and geomorphic history of northeastern British Columbia, including the northwest limit of the Fort Nelson Lowland, western Etsho Plateau, Maxhamish Escarpment, Tsoo Tablelands, and the Liard, Fort Nelson and Petitot rivers. Lowland regions are underlain by gently dipping natural gas-bearing shale, siltstone and sandstone. Folded and fault-bounded conglomerate, sandstone, carbonaceous shale, coal and limestone form escarpments, tablelands and plateaux. During the last glaciation (30,000 to 12,000 calendar years before present), Maxhamish Lake and numerous smaller basins were excavated as the Laurentide Ice Sheet and meltwater scoured older glacial deposits and weak bedrock. The modern Fort Nelson and Petitot rivers occupy meltwater spillways that drained northwest into glacial lakes confined to the Liard River basin. Over the last 12,000 years, slopes and drainage networks have been modified by fluvial erosion and deposition, landslides, forest fires, beavers and human activity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.091 | 0.019 |
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".