Long-term landscape impact of petroleum exploration, Melville Island, Canadian High Arctic
Bibliographic record
Abstract
Industrial land use such as petroleum exploration and infrastructure development has important and lasting impacts on Arctic landscapes. Detailed, site-level investigations have noted impacts that include vehicle tracks, surface and vegetation alteration, soil compaction, and degradation of ice wedge features. We investigated the long-term impact of an extended period of hydrocarbon exploration on Melville Island in the Canadian High Arctic using available remotely sensed data supplemented with field observations over a ∼370 km2 area. Aerial photographs from 1959, 1972, and 1977 and recent satellite imagery (2011 and 2013) were used to determine the effects of industrial activity over periods corresponding to pre-activity, mid-activity, and post-activity. We show that vehicle tracks, site disturbance, and vegetative impacts are still evident after 40 years in this area. Permafrost has degraded at sites with concentrated activity (drill sites, airstrips) and changes to vegetation are clearly discernable. The results demonstrate the utility of this approach for assessment of land use impacts on High Arctic landscapes and provide a means to determine locations for more detailed site-specific field studies. These results may contribute to strategies for environmental monitoring in remote areas where access is impractical or resource intensive.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 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".