Breastfeeding in low-income families of the turn of the 19th-century town of Rauma, Southwestern Finland, according to stable isotope analyses of archaeological teeth
Bibliographic record
Abstract
We explore breastfeeding practices among low-income families in the late 18th to early 19th-century town of Rauma in Southwestern Finland. The breastfeeding practices in the area of the current nation of Finland (at the time belonging to first Sweden and then Russia) had been under debate. While in certain regions artificial infant feeding was common and was linked to high infant mortality, breastfeeding was also known to be practiced in certain regions of Finland. To explore this, we analyzed the δ15N and δ13C values in collagen of horizontally cut dentin segments of permanent first molars (M1; n = 7) collected from 19th century human skeletal remains from the deconsecrated Holy Trinity churchyard excavated in 2016. The resulting isotopic profiles were similarly patterned across the seven individuals. The emerging pattern revealed a period of exclusive breastfeeding during approximately the first six months of life, followed by weaning until the latter half of the second year. We further investigated diet during mid-childhood by comparing the stable isotope ratios in collagen of the M1 and premolar roots. This comparison suggested that the mid-childhood diets may have contained more plant-based foods than those consumed earlier in childhood.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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".