Bibliographic record
Abstract
Permafrost underlies approximately 50% of the Canadian landmass and is found in offshore areas beneath the Arctic shelf. Permafrost is warming at depth through taliks, along faults and methane leakage maybe enhanced from historical exploration wells and is also degrading in some areas as the surface active layer is thickening. As permafrost warms and degrades, contaminants including heavy metals, trapped greenhouse gases and saline pore fluids are being naturally released into the environment and the liberation of organic carbon through permafrost degradation stimulates microbial activity. Recent estimates also suggest that permafrost represents the largest global reservoir of mercury, with active pathways for migration and uptake in the food web. This project is striving to assess the environmental implications of warming terrestrial, coastal and offshore permafrost and therefore provide a baseline to better appraise the environmental consequences of resource development. Active permafrost-related geological processes and their impacts on the environment will be assessed using a broad and various suit of geophysical, sampling and monitoring techniques. Key outcomes will include; 1) improved and adapted environmental practices for resource development projects in permafrost settings allowing industry to follow safer and more cost efficient practices and regulators to better appraise development projects, 2) improved environmental assessment of cumulative effects of resource development, and 3) assessment of permafrost environmental considerations within the broad context of human health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".