Northeast British Columbia Aggregate Mapping Program: A Summary of Deposits and Occurrences
Bibliographic record
Abstract
The main objective of the Northeast British Columbia Aggregate Mapping Program is to complete an inventory of new and existing local sources of aggregate in areas where there is a high demand. Mapping aggregate potential in the region has been challenging due to the subdued topography and ubiquitous presence of thick organics and clay-rich morainal and glaciolacustrine sediments. Various innovative methods and data sets have been employed to meet program objectives. To date, the program has identified eight aggregate deposits northeast of Fort Nelson, in the vicinity of the Sierra-Yoyo-Desan (SYD) Road, that contain a total resource of>6 000 000 m3 of aggregate. Twenty-five sand and gravel prospects have also been discovered in the same region. All are contained within a mappable geomorphic or geophysical feature and have been field tested. Based on the genesis and size of the mappable feature, field observations, and a preliminary assessment of aggregate demand, the majority of these newly identified prospects have high potential to host an economic sand and gravel deposit.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".