Echoes of the Tuniit: Exploring Dorset-Inuit Interaction in Northern Nunatsiavut (WGF - Post-PhD Research Grant)
Bibliographic record
Abstract
This resource is an application for a Post-PhD Research Grant from the Wenner-Gren Foundation. Inuit migration from Alaska to the Eastern Arctic (i.e. Canada and Greenland) around the 13th century AD is considered one of the most dramatic human population movements in North America. Around this same time, an existing Indigenous Arctic population, known as the Dorset culture by archaeologists, disappeared entirely. A major debate regarding these processes concerns the dynamics of Dorset-Inuit interaction. It is possible that the Dorset are the Tuniit of Inuit oral histories. While there is scant material evidence of exchange between the two peoples, there is evidence of chronological overlap in some regions of the Arctic. However, some regions, such as Nunatsiavut (Labrador Inuit lands), do not have sufficiently robust chronological data to understand if the Dorset became a part of Inuit social memory through direct face-to-face interaction or Inuit encountering long-abandoned Dorset archaeological remains. This project will address Dorset-Inuit interaction in Nunatsiavut by excavating two houses at Staffe Island 1, one of the earliest known Inuit sites in the region. By applying Bayesian modelling to refine the chronology at Staffe Island, this project will assess whether the two groups coexisted in the same region and debate how past human interactions can become part of long-lasting social memories.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".