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Record W4388294321 · doi:10.1080/20555563.2023.2272120

Late Pleistocene Faunal Assemblages from Karst Cave Settings on Northern Vancouver Island, Canada

2023· article· en· W4388294321 on OpenAlexafffundabout
Duncan McLaren, Rebecca J. Wigen, Daryl Fedje, Angela Dyck, Christopher F.G. Hebda, Evan Morien, Mikkel Winther Pedersen, Eske Willerslev, Linda Y. Rutledge, McIntyre A. Barrera, Jim Stafford, David Wall, Bryn Letham

Bibliographic record

VenuePaleoAmerica · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsSimon Fraser UniversityCanadian Parks and Wilderness SocietyInterior Health
FundersHakai Institute
KeywordsKarstCavePleistoceneGeologyArchaeologyGeographyPaleontologyOceanography

Abstract

fetched live from OpenAlex

We present the results of our investigations in karst caves on northern Vancouver Island. This work focuses on late Pleistocene faunal remains and potential archaeological deposits. Our analyses of faunal remains from these caves reveal that a variety of animals have inhabited the region since the Last Glacial Maximum. Pleistocene taxa recovered include black-tailed deer (Odocoileus hemionus), black bear (Ursus americanus), mountain goat (Oreamnos americanus), Vancouver Island marmot (Marmota vancouverensis), wolf/dog (Canis spp.), weasel (Mustela), and frog (Anura). We also report on a previously undescribed diminutive red fox (Vulpes vulpes) which no longer inhabits Vancouver Island. We present the results of sedaDNA analysis of cave sediments which demonstrates promise in supporting the morphological identification of animal remains. The results of this study, combined with previous research, help to constrain the timing of the Last Glacial Maximum and when land became viable to support land mammals on northern Vancouver Island.

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 score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.013
GPT teacher head0.253
Teacher spread0.240 · 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

Citations8
Published2023
Admission routes3
Has abstractyes

Explore more

Same venuePaleoAmericaSame topicPleistocene-Era Hominins and ArchaeologyFrench-language works237,207