Reindeer Demographics at Iarte VI, Iamal Peninsula, Arctic Siberia
Bibliographic record
Abstract
This study focuses on constructing a demographic profile for a large set of reindeer (Rangifer tarandus) remains from the Iron Age Iarte VI site on the Iamal Peninsula in Siberia. Iarte VI produced one of the largest reindeer assemblages in the entire Arctic, totalling ∼22,000 specimens. Age assessment is conducted by examining teeth eruption sequences in 686 mandibular fragments. Sex identification is based on analysis of 595 os coxae through visual observation of the acetabulum ventro-medial rim or border. Our assessments demonstrate that inhabitants at Iarte VI accessed various reindeer age categories, with adults being the most often utilised group of animals. Adults were found in all excavated sections and cultural strata at the site and consisted of both males and females. Other age groups such as newborns, yearlings, and juveniles were also present but in smaller quantities. The majority of the sub-adult individuals were under six months of age, indicating the use of this location during the warmer seasons, most often in fall. This seasonal pattern of site use is similar to historic seasonal migrations by many Indigenous reindeer herding families, who move north to utilise the tundra of Iamal Peninsula during the spring, summer, and early fall.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".