Evaluating Potential Impacts of Proposed Industrial Access Road Routes on Wilderness Character in Gates of the Arctic National Park and Preserve, Alaska
Bibliographic record
Abstract
Northern Alaska is home to the largest designated wilderness landscape in the United States and among the world’s largest remaining roadless regions. Under the 1980 Alaska National Interest Lands Conservation Act, the Alaska Industrial Development and Export Authority, a semi-public corporation of the state of Alaska, proposed an industrial road to access the Ambler Mining District that would run approximately 320 km along the southern edge of the western Brooks Range, crossing federal, state, and Native Corporation lands. Two alternative routes are being considered that cross the Kobuk Preserve portion of Gates of the Arctic National Park and Preserve, with the northern route running outside of but adjacent to Gates of the Arctic Wilderness. Both Kobuk Preserve and Gates of the Arctic Wilderness are managed by the National Park Service to preserve wilderness character under existing federal law and agency policy. This study evaluates the potential impacts of both routes on wilderness character in the Kobuk Preserve and adjacent Gates of the Arctic Wilderness. We use a hierarchical conceptual framework to identify spatially explicit measures that show the potential impacts of the road on wilderness character. The impacts from each measure are combined using a weighting scheme to generate a series of maps that quantify the potential impacts of these two proposed routes. Our results show that both routes would degrade wilderness character within the Kobuk Preserve, and that the northern route, which is the state’s preferred alternative for the road corridor, would have a significantly greater impact in terms of degrading wilderness character in the adjacent Gates of the Arctic Wilderness.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".