Investigating the effect of European contact on Inuit-animal interactions in Labrador
Bibliographic record
Abstract
Archaeological research into the Labrador Inuit past has shed considerable light on material culture and changes therein, as well as on certain subsistence practices, and on how each of these changed through time. However, few studies have been undertaken that integrate these two aspects of life. Animals are particularly prominent in the arctic and sub-arctic environment, and in many ways formed the core of Inuit culture. Archaeologically, much of the material culture is in some way connected to animals – be it made of animal products, a depiction of animals, or having to do with the acquisition and processing of animals, and so material culture and subsistence are inherently linked. Operating within a theoretical framework of Human-Animal Studies, the aim of this thesis is to explore how Inuit-animal interactions and relationships changed through European contact and influence. By examining both faunal and artifact assemblages from three sites (Nachvak Village/IgCx-3, Kongu/IgCv-7, and Double Mer Point/GbBo-2) covering a range of temporal, geographic, and economic contexts, I was able to separate local variability from larger trends, and to draw conclusions concerning how Inuit used and related to animals within these contexts. This opens up avenues for further study, such as regional, contemporaneous multi-site comparisons, delving into the as yet poorly understood importance of whales, and examining the movements of Inuit-produced materials throughout Labrador and across the world.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".