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Record W2011606026 · doi:10.1139/e04-061

A late Pleistocene Steller sea lion (<i>Eumetopias jubatus</i>) from Courtenay, British Columbia: its death, associated biota, and paleoenvironment

2004· article· en· W2011606026 on OpenAlexaffvenueabout
C. R. Harington, Richard L.M. Ross, Rolf W. Mathewes, Kathlyn M. Stewart, Owen Beattie

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of AlbertaSimon Fraser UniversityNorth Island CollegeCanadian Museum of Nature
Fundersnot available
KeywordsRadiocarbon datingMacrofossilGeologyPleistoceneArchaeologySubfossilPaleontologyGeographyHolocene

Abstract

fetched live from OpenAlex

A partial juvenile Steller sea lion (Eumetopias jubatus) skeleton from nearshore marine sands at Courtenay, Vancouver Island, British Columbia has been radiocarbon dated to 12 570 ± 70 BP. This date is supported by both stratigraphic and regional sea-level emergence data and is similar to radiocarbon dates on a Steller sea lion humerus from Bowen Island, just north of Vancouver. The juvenile apparently died from a blow to the braincase, most likely caused by a Steller sea lion bull. The Courtenay specimen is significant since very few Pleistocene otariid fossils are complete enough to be assigned to modern taxa. Associated mollusk remains indicate that the marine paleoclimate of the fossil locality was considerably colder than now — close to that along the northern reaches of Cook Inlet and Prince William Sound, Alaska. Pollen and plant macrofossils collected from the Courtenay site clearly demonstrate the presence of lodgepole pine (Pinus contorta) forests nearby during this early late-glacial interval. Fish remains (mainly Pacific cod and walleye pollock, with some salmon) from this site probably reflect selection by adult sea lions at a rookery.

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)0.000
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 score0.171
Threshold uncertainty score0.345

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.017
GPT teacher head0.197
Teacher spread0.180 · 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

Citations16
Published2004
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Earth Sciences→Same topicMarine animal studies overview→French-language works237,207→