A novel approach to assess the cumulative impacts of thawing permafrost on aquatic systems using both Indigenous knowledge and western scientific knowledge
Bibliographic record
Abstract
Increased temperatures and precipitation are intensifying mass wasting caused by the thawing of ice-rich permafrost in the western Canadian Arctic. Specifically, disturbances known as retrogressive thaw slumps deliver large quantities of sediment and dissolved materials into adjacent waterbodies, thereby negatively affecting culturally and ecologically important fish habitat. Very little information exists regarding the impacts of thaw slump expansion on fish habitat in northern Canada. To understand the risk of these potential impacts, we combined spatial data on cumulative thaw slump impacts in the Teetł’it Gwinjik (Peel River) Watershed, Gwich'in Settlement Region, with detailed information about fish habitat derived from Gwich'in knowledge and western scientific knowledge using a mixed methods approach. Areas at high risk of experiencing the cumulative impacts of slumping were found along the mainstem of the Peel River and its major tributaries. Gwich'in knowledge holders were concerned about the impacts of slumping on future access to fish. These findings raise concerns about the impact of permafrost thaw on Indigenous fishing livelihoods in the region and highlights the need for additional research.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".