Archaeologies of Climate Change: Perceptions and Prospects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Climate change is the biggest challenge facing humanity today, and discussions of its effects—from habitat loss to psychological impacts—can be found in most academic disciplines. Among the many casualties of contemporary climatic change is the archaeological heritage of Arctic and subarctic regions, as warming, erratic weather patterns, coastal erosion, and melting permafrost threaten the anthropogenic and ecological records found in northern environments. Archaeology is uniquely positioned to provide long-term perspectives on human responses to climatic shifts, and to inform on the current debate. In addition, the practice of archaeological research and assimilation of archaeological heritage into contemporary society can also address or even mitigate some of the sociocultural impacts of climate change. Focusing on the Yup’ik communities and critically endangered archaeology of the Yukon–Kuskokwim (Y–K) Delta, Alaska, here we argue community archaeology can provide new contexts for encountering and documenting the past, and through this, reinforce cultural engagement and shared cultural resilience. We emphasize the benefits of archaeological heritage and the practice of archaeology in mitigating some of the social and psychological impacts of global climate change for communities as well as individuals. We also propose that archaeology can have a role in reducing psychological distance of climate change, an acknowledged barrier that limits climate change action, mitigation, and adaptation, particularly in regions where the impacts of contemporary climate change have not yet been immediately felt.
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.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it