Stable isotopes of carbon and nitrogen as markers of dietary variation among sociocultural subgroups of Inuit in Greenland
Bibliographic record
Abstract
Abstract Objectives We assessed the use of stable isotopes of carbon and nitrogen as biomarkers for traditional versus store‐bought food among the Inuit. Furthermore, we compared the isotope patterns among sociocultural population groups. METHODS As a part of a country‐wide health survey in Greenland during 2005–2010, we analyzed the isotope composition of toenails from 1025 adult Inuit and meat of common species hunted for food. Information on diet and sociocultural variables was collected by interviews. RESULTS Weighted by sex and place of residence to the total population of Inuit in Greenland, the average δ13C value in toenails was −20.2‰ and the δ15N value was 12.0‰ which are higher than in a general Danish omnivorous population. Both isotopes were significantly associated with other biomarkers of marine food and with results of a Food Frequency Questionnaire (FFQ). The percentage of marine food in the diet was estimated at 21% from the mean δ13C value, 25% from the mean δ15N value, and 23% from the FFQ. CONCLUSION Nail samples for analysis of stable isotopes of carbon and nitrogen were convenient to collect during a large population health survey among the Inuit. Isotope enrichment levels showed statistically significant associations with other biomarkers for consumption of marine food and with results of an FFQ and were used to estimate the percentage of marine food in the diet. Isotope levels were significantly associated with a novel score of sociocultural transition.
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 | 0.000 |
| 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".