Introduction et Sommaire
Bibliographic record
Abstract
This Bulletin summarizes surficial geology knowledge and data produced by the Geo-mapping for Energy and Minerals (GEM) program in the last decade, and provides an updated understanding of the nature, distribution, and history of surficial deposits in various glacial terrain types of Canada's North. The advancement in various aspects of surficial geology and the evolution of certain concepts and methods form the subject of the papers that make up this bulletin. Specifically, the status of surficial geology mapping in northern Canada and the development of standards to facilitate map release; highlights from selected GEM surficial geochemical and indicator mineral surveys and the establishment of protocols for drift prospecting; and the revised glacial histories and surficial geology in various regions, from the Mackenzie Mountains to the Labrador coast, are discussed. This introductory paper to Bulletin 611 describes the scope of the publication and provides a summary of major surficial geology contributions to the GEM program in northern Canada. Remaining knowledge gaps and outstanding issues suggest ideas for future research topics and regions of interest that could inform decisions on mineral exploration and land-use management.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.324 | 0.200 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".