An integrated assessment of potential granular aggregate resources in Northwest Territories
Bibliographic record
Abstract
Granular aggregate (e.g., sand, gravel, boulders, and crushed bedrock) is critical to all manner of community, regional, and commercial infrastructure development including roads, airstrips, concrete production, petroleum well and building pads, and pipelines. Typically, granular aggregate is mined from glacial deposits such as eskers, kames, and sub- and pro-glacial meltwater channels; it can also be mined from modern or paleo-river deposits such as raised terraces. As the greatest economic cost of granular aggregate resources is typically associated with its transportation, and this cost increases exponentially with distance, undertakings that identify new potential sources in proximity to communities and prospective infrastructure development projects is regarded as being of particular benefit. This study uses drillers' logs from past seismic operations throughout the Northwest Territories as a means of identifying potential surface and subsurface (buried) granular aggregate resources. During the auger drilling of seismic shotholes, drillers logged the earth materials they were drilling through at varying degrees of resolution and accuracy. Past success using seismic shothole drillers' logs to identify a large buried granular aggregate deposit in northeastern British Columbia has demonstrated the efficacy of this type of investigation. Using a database of >275 000 archival shothole drillers' log records (Open File 6049), this project has queried, sorted, and interpreted the data from which databases and shapefiles of "gravel" (including boulders and rocks), "gravel + sand" and "sand" deposits have been integrated into a regional Geographic Information System (GIS). Relevant data from a geotechnical borehole database (Smith, 2005) and a separate database of seismic shothole drillers' logs from the Mackenzie Delta region (Côté et al., 2003) has also been interpreted and integrated into the GIS. This publication also includes granular aggregate-associated map polygons (e.g., glaciofluvial deposits, alluvial terraces) extracted from existing surficial geology maps. At present this is confined to the northern part of the Mackenzie corridor (many more surficial geology maps are being completed for the central and southern part of the Mackenzie corridor, and will be integrated into a revised publication at a later date). The benefit of including the map polygon data is that it can be used to confirm or question the identification of potential granular aggregate deposits from coincident shothole records; it also can give a sense of the potential geographic extent of what is otherwise point-source shothole data. The GIS created by this project is designed to give the user a visual sense of the distribution and size of potential granular aggregate deposits, while at the same time providing the ability to search and query the actual records throughout the geographic extent of the data. In all cases, users are cautioned that seismic shothole-associated deposits identified in the GIS should only be considered "potential" granular aggregate resources - all deposits require field verification, as well as a proper assessment of their sedimentological and lithological characteristics prior to their engineering application, or inclusion as part of a regional resource inventory. That said, past success in using this kind of information to prospect for granular aggregate resources, and the shear volume and geographical extent of new information provided by this project is likely to make this a particularly invaluable resource for the Northwest Territories. Purpose: Produced as part of Natural Resources Canada's Secure Canadian Energy Supply Program, Northern Energy Development - Mackenzie Valley Pipeline project and Program of Energy Research and Development (PERD) Pipelines Program 1.2.5
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".