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Record W4282981261 · doi:10.1016/j.jasrep.2022.103521

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

2022· article· en· W4282981261 on OpenAlexafffund
Tiina Väre, Alison Harris, Mikko Finnilä, Kerstin Lidén

Bibliographic record

VenueJournal of Archaeological Science Reports · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsMemorial University of Newfoundland
FundersKulttuurin ja Yhteiskunnan Tutkimuksen ToimikuntaSocial Sciences and Humanities Research Council of CanadaAcademy of Finland
KeywordsBreastfeedingWeaningPremolarDemographyLow incomeGeographyMolarArchaeologyDentistryMedicineSocioeconomicsPediatricsSociology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.253
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2022
Admission routes2
Has abstractyes

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