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Record W1926477999 · doi:10.1002/ajpa.22551

Changes in dietary practices and social organization during the pivotal late iron age period in Norway (AD 550–1030): Isotope analyses of merovingian and viking age human remains

2014· article· en· W1926477999 on OpenAlexaff
Elise Naumann, T. Douglas Price, Michael P. Richards

Bibliographic record

VenueAmerican Journal of Physical Anthropology · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of British Columbia
FundersMax-Planck-Institut für Evolutionäre AnthropologieNorges Teknisk-Naturvitenskapelige Universitet
KeywordsPeriod (music)Isotope analysisHuman boneδ13CStable isotope ratioδ15NDemographyGeographyEcologyBiology

Abstract

fetched live from OpenAlex

Human remains representing 33 individuals buried along the coast in northern Norway were analyzed for diet composition using collagen stable carbon and nitrogen isotope analysis. Where possible, both teeth and bone were included to investigate whether there were dietary changes from childhood to adulthood. A general shift was documented from the Merovingian Age 550-800 AD to the Viking Age AD 800-1050 (VA), with a heavier reliance on marine diet in the VA. Dietary life history data show that 15 individuals changed their diets through life with 11 of these having consumed more marine foods in the later years of life. In combination with (87) Sr/(86) Sr data, it is argued that at least six individuals possibly originated from inland areas and then moved to the coastal region where they were eventually interred. The trend is considered in relation to the increasing expansion of the marine fishing industry at this time, and it is suggested that results from isotope analyses reflect the expanding production and export of stockfish in this region.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.016
GPT teacher head0.285
Teacher spread0.268 · 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

Citations30
Published2014
Admission routes1
Has abstractyes

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