Spatiotemporal Variability in Arctic Climates of the Past Millennium: Implications for the Study of Thule Culture on Melville Peninsula, Nunavut
Bibliographic record
Abstract
During the last millennium, climatic fluctuations occurred in the Arctic that presumably affected ecosystems and people. Paleoclimatologists recognize that the impacts of these fluctuations were not consistent across space or time; however, archaeologists often cite climatic fluctuations as an impetus for Thule migration and more recent regionalization across the Arctic. An interdisciplinary International Polar Year project is examining possible correlations between climate and cultural changes on Melville Peninsula. To better evaluate the role climate played in cultural change on Melville Peninsula and to place emerging data in context, we present here new syntheses of paleoclimatic and archaeological data from adjacent regions to determine how the data sets articulate. A comparison of high-resolution paleoclimatic records suggests dissimilarities in climatic histories across this transitional area, with Little Ice Age cooling possibly occurring 1–2 centuries earlier west of Melville Peninsula than to the east. Although paleoclimates in the Baffin region to the east may have been more variable, the maritime climate may have contributed to a resource-rich environment, resulting in continuous human occupation. The more stable, and possibly cooler, continental climate to the west of Melville Peninsula could explain the relatively fewer Thule sites. This area, however, was relatively densely used throughout the coldest part of the past millennium and the historic period, likely owing to technological specialization and access to European material culture.
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 | 0.001 |
| 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) | 0.001 | 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".