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Record W3015202111 · doi:10.1139/gen-2019-0149

Evidence for the persistence of ancient Beothuk and Maritime Archaic mitochondrial DNA genome lineages among modern Native American peoples

2020· article· en· W3015202111 on OpenAlexaffvenueabout
Steven M. Carr

Bibliographic record

VenueGenome · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicForensic and Genetic Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsAncient DNABiologyCladeEvolutionary biologyPhylogenetic treeMitochondrial DNAGenealogyExtant taxonLineage (genetic)PhylogeneticsZoologyGeneticsDemographyGeneHistoryPopulation

Abstract

fetched live from OpenAlex

The Beothuk were a Native American people who formerly occupied the island of Newfoundland, and who are generally accepted to have become culturally extinct in 1829. The Beothuk succeeded the Maritime Archaic people on the island after a hiatus of ca. 1.4 ka, and were themselves succeeded by the extant Mi'kmaq within historic times. Genetic continuity between ancient and modern Native Americans remains of interest. Complete aDNA mitogenomes from ancient Beothuk and Maritime Archaic were compared with the most closely related modern mitogenomes as obtained by BLAST search of GenBank. Beothuk mitogenomes in five clades are in one case identical to and otherwise differ by minima of three to eight SNPs from the most closely related modern mitogenomes. Maritime Archaic mitogenomes in 12 clades are in one case identical to and otherwise differ by minima of one to nine SNPs from the most similar modern mitogenomes. The single available modern Mi'kmaq mitogenome differs from the most similar Beothuk and Maritime Archaic mitogenomes by 12 and 22 SNPs, respectively. Phylogenetic analysis and sequence similarities imply lineage extinction of most ancient clades, as well as continuity of two Beothuk and at least one Maritime Archaic lineages in modern Native Americans and their descendants.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.470

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 studies0.0000.001
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 head0.046
GPT teacher head0.285
Teacher spread0.239 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations3
Published2020
Admission routes3
Has abstractyes

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