An Examination of Resource Transportation Alternatives in Northwest Alaska
Bibliographic record
Abstract
This paper briefly describes the information gathered and conclusions reached during Phase 1, Potential Corridors Identification, of the Resource Transportation Analysis (RTA). The RTA is a component of the Northwest Alaska Transportation Plan, which will provide a strategy to guide transportation infrastructure development in Northwest Alaska. The study area covers approximately 564,300 square kilometers of northern Alaska. It encompasses the entire North Slope Borough (NSB) west of the Dalton Highway, the Northwest Arctic Borough (NWAB), the Yukon River Basin west of the Dalton Highway and north of Nenana, and the Seward Peninsula and Norton Sound region. Resource districts in the study area are the DeLong Mountains District, Ambler Mining District, Seward Peninsula District. Ruby District, Wiseman and Chandalar districts, and North Slope District, which includes the Western Arctic District. The paper summarizes the known reserves of mineral resources, including oil and gas, lead, zinc, copper; coal, gold, platinum, and other hard minerals. The environmental and land status, transportation options, and financial issues associated with each potential mining district are summarized in this paper. Cold regions impacts on the study include climate, sea ice, and permafrost.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".