History of dental caries in Inuit populations: genetic implications and ‘distance effect’
Bibliographic record
Abstract
Dental caries is considered the third most important scourge in the world. In North America, Inuit populations are the population the most severely affected by dental caries. It is often assumed that this situation can be explained by a combination of factors classical for Indigenous populations: remoteness (geographical distance), low economic status and low health literacy (cultural distance). Using a bibliographic approach, we tested this hypothesis of the "distance effect" by exploring the caries prevalence in other Indigenous populations living in high-income countries. Next, we tested whether the high prevalence of caries is due to population-specific characteristics by tracking caries prevalence over the past few centuries. In result, we showed that while other Indigenous populations are more impacted by caries than the general populations, the Inuit populations present the highest prevalence. Paradoxically, we showed also that past Inuit populations were almost immune to caries before 1950. These two elements suggest that the prevalence of caries observed presently is a recent maladaptation and that beyond the effect of cultural and geographical distance, specific biocultural factors have to be investigated.
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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 | 0.001 | 0.003 |
| 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) | 0.003 | 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".