‘No longer solid’: perceived impacts of permafrost thaw in three Arctic communities
Bibliographic record
Abstract
Permafrost characterizes ground conditions in most of the Arctic and is increasingly thawing. While environmental consequences of permafrost thaw are under intense scrutiny by natural and life sciences, social sciences' studies on local communities' perceptions of change is thus far limited. This hinders the development of targeted adaptation and mitigation measures. We present the results of a survey on communities' perceptions of permafrost thaw, with a focus on subsistence activities, carried out between 2019 and 2020 in Aklavik (Northwest Territories, Canada), Longyearbyen (Svalbard, Norway), and Qeqertarsuaq (Qeqertalik Municipality, Greenland). Results show that the majority of the 237 participants are well aware of the consequences of permafrost thaw on the landscape as well as the connection between increased air temperature and permafrost thaw. The majority perceive permafrost thaw negatively although they do not perceive it as a challenge in all life domains. Permafrost thaw is perceived as a major cause for challenges in subsistence activities, infrastructure, and the physical environment. Different perceptions within the three study communities suggests that perceptions of thaw are not solely determined by physical changes but also influenced by factors related to the societal context, including discourses of climate change, cultural background, and land use.
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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".