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Record W2793694117

Dog Days on the Plains: A Preliminary aDNA Analysis of Canid Bones from Southern Alberta and Saskatchewan

2017· article· en· W2793694117 on OpenAlexaboutno aff
Bjørn Peare Bartholdy, Tyler J. Murchie, K. Hacking, C. Verwoerd

Bibliographic record

VenueLeiden Repository (Leiden University) · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyAncient DNAMiddenPopulationmtDNA control regionGeographyTaphonomyBiologyZoology
DOInot available

Abstract

fetched live from OpenAlex

Dogs were an important component of lifeways on the Northern Plains until the reintroduction of the horse following European contact. There has been little investigation into the variability of domesticcanids on the Prairies and the potential of that variability as a proxy for identifying relationships between culture-historic entities. Distinguishing between sympatric canids using morphological characteristics can be challenging with degraded specimens that have high intra-specific variability, and where wolf-dog hybridization can result in transitional morphologies. Here, we present preliminary ancient DNA data on archaeological canids recovered from FM Ranch (EfPk-1) and Cluny (EePf-1) in Alberta, as well as fromLake Midden (EfNg-1) in Saskatchewan. Using the mitochondrial control region, we taxonomically reclassify zooarchaeological remains, find potential evidence of European dogs in a protocontact component, and identify preliminary indications of a distinct dog population at the Cluny site that may beof interest for determining the origin of the One Gun phase.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.226

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.250
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

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