Exploratory Analysis for Locations of an All-Season Access Corridor Through Northwest Territories' Slave Geological Province for Natural Resource Mining Transportation Using Least Cost Analysis
Bibliographic record
Abstract
This paper examines the preliminary development plan for the Slave Geological Province Access Corridor project, and evaluates the identified criteria and constraints referring to economic, environmental and social sustainability. The corridor project was first introduced in the 1970’s, and in March 2019 progress was made when the Federal government granted $3.4 million towards preliminary work for the all-season corridor, with an additional $2.7 million contributed from other environmental agencies and developers to assist in the preliminary construction of the all-season corridor (CBC News, 2019). Due to the unpredictability of seasonal roads, especially in a time of global climate change and weather extremes, an all-season road is significantly more reliable and will provide benefits to the economy and mining industry of the Northwest Territories. The land is rich in natural resources and creating an all-season road would greatly increase accessibility to northern Canada, directly improving livelihood and future exploration. This paper proposes potential methods for creating a least cost path suitability using geographical information systems via examination of economic, environmental and social factors at various levels. This methodology produced six pathways using six cost surfaces. More detailed criteria layers produced complex heterogeneous cost surfaces that hold a heavy influence in creating barriers in the cost surface layer. Broad, more course data created cost surfaces will continuous cost cells, where cell costs were not as sporadically mixed. The pathways produced in this report are not intended for actual use; rather the methodology, models and scripts should be used as framework for the proposal of the Slave Geological Corridor.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".