New Isotope Evidence for Diachronic and Site-Spatial Variation in Precontact Diet during the Little Ice Age at Nunalleq, Southwest Alaska
Bibliographic record
Abstract
The stable isotope analysis of preserved proteinaceous tissues, such as bone collagen and hair keratin, offers a powerful means of examining individual dietary practices in archaeology and, through this, inferring the subsistence behaviours, socio-cultural practices, and food preferences of past populations. Previous isotope research at the precontact Yup’ik village site of Nunalleq, Alaska, has provided evidence of a mixed diet of marine and terrestrial foods (but likely dominated by salmonids), but also highlighted some dietary variability amongst the inhabitants of the site. However, materials from the older rescue excavations were insufficient to infer whether this variability was interpersonal and/or diachronic in nature. Here, new stable carbon and nitrogen isotope data from human hair are presented. These were obtained during the research excavations at Nunalleq from temporally constrained, well-stratified contexts. The new data reveal dietary change through time at the site, highlighting changes in resource use and subsistence practices during the Little Ice Age. During the middle phase of occupation at the site (Phase III; cal AD 1620–1650), diet is more varied, most likely relating to the differing relative contribution of salmon versus higher trophic level marine mammal protein to the diet of some individuals at the site. Analysis reveals these differences to be site-spatial, possibly indicating differences with the use of space at the site, and/or hinting at possible social differentiation in diet during Phase III. In the final occupation phase (Phase II; cal AD 1640–1660), diet is more homogeneous and demonstrates an increased exploitation of higher-trophic level marine foods.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".