Thule dog diets in the Hudson Bay reflect human dietary variability: Implications for palaeodietary studies and past human–dog relationships in the Canadian Arctic
Bibliographic record
Abstract
The stable isotopic compositions of domestic dogs have frequently been used to investigate questions related to ancient human subsistence, leading to the development of analogical frameworks such as the Canine Surrogacy Approach (CSA). In this paper, we compared the stable carbon and nitrogen isotope ratios from canid (dogs and wolves) bone and dentine collagen with previously published human and dog stable isotope ratios at the Silumiut site (KkJg-1; northwestern Hudson Bay, Canada). We found a clear dietary relationship between humans and dogs at Silumiut, suggesting that dogs were heavily influenced by human provisioning. Despite their isotopic similarities, mixing models (MixSIAR) estimated that the dogs consumed a greater proportion of terrestrial resources than humans, particularly a juvenile dog at the site, which we interpreted as reflecting a seasonal dietary signal. The isotopic variability observed among the adult dogs reflected that of humans, despite the much smaller number of dogs. This may reflect small-scale differences in the care and provisioning of dogs at this site. Based on these results, we suggest that dogs are best served as a source of indirect information about human subsistence and human–dog relationships, rather than as direct dietary proxies for humans in palaeodietary studies in this region.
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How this classification was reachedexpand
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 | 0.023 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".