DIACHRONIC STUDY OF INUIT DIETS UTILIZING TRACE ELEMENT ANALYSIS
Bibliographic record
Abstract
This preliminary study uses trace element analysis of human bone in a diachronic investigation of north west Alaska Inuit diets. Bone mineral levels for nine elements are meas- ured. Presently, stable strontium appears to be the trace element that is most reliable as a dietary indicator. Strontium is incorporated into bone tissue in varying amounts depending upon regional geochemistrj^ and the trophic level of the species under study. Plants generally contain higher levels of strontium than do mammals. Previous dietarjr studies using this element have investigated the relative importance of plant foods in archaeological populations. Because of high levels of strontium in sea water, sea mammals absorb more of this element than do terrestrial mammals. Since Inuit diets contain only negligible amounts of plant foods, elevated levels of strontium in Inuit bone should reflect heavy subsistence use of sea mammals. The trace element content of bone from six Inuit populations is analyzed. Geographically these groups range from Cape Krusenstern to Barrow, and chronologically they range from the early Christian era to the late nineteenth century. As a control, the trace element content of marine predator and terrestrial herbivore bore is also analyzed.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".