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Record W2909620987 · doi:10.1139/cjes-2018-0246

Late Pleistocene age, size, and paleoenvironment of a caribou antler from Haida Gwaii, British Columbia

2019· article· en· W2909620987 on OpenAlexafffundvenueabout
Rolf W. Mathewes, Michael P. Richards, T. E. Reimchen

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of VictoriaSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAntlerRadiocarbon datingPleistoceneGeologyWoodland caribouArchaeologyGlacial periodWoodlandPaleontologyMarine isotope stageGeographyInterglacialEcologyPredation

Abstract

fetched live from OpenAlex

The basal portion of a fossil caribou antler from Graham Island is the only evidence of large terrestrial vertebrates older than the Fraser (late-Wisconsin) glaciation on Haida Gwaii. This antler has been radiocarbon dated three times by different laboratories and all ages fall within the mid-Wisconsin Olympia Interglaciation (Marine Isotope Stage 3, MIS 3). We suggest that the latest date, using ultrafiltration of bone collagen, is closest to the true age at 43 200 ± 650 years BP (48 200 – 45 200 cal BP). Previous paleoecological analysis from Graham Island reconstructed a vegetation cover during MIS 3 consisting of mixed coniferous forest with nonforested openings, similar to cool subalpine forests of today. These conditions are consistent with environments that support woodland caribou and the related extinct Dawson caribou. Morphometric comparison of antlers from woodland and Dawson caribou suggest that they are more similar than previously interpreted and raise questions about the inferred differences between the mainland and island subspecies.

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 score0.044
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.014
GPT teacher head0.225
Teacher spread0.211 · 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

Citations6
Published2019
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Earth SciencesSame topicPleistocene-Era Hominins and ArchaeologyFrench-language works237,207