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Record W2763668591 · doi:10.3366/anh.2017.0448

On the land mammals of the Queen Charlotte Islands, British Columbia, by John Henry Keen, with a catalogue of specimens

2017· article· en· W2763668591 on OpenAlexaffabout
Spencer G. Sealy

Bibliographic record

VenueArchives of Natural History · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsQueen (butterfly)FaunaMainlandNatural historyTaxonArchaeologyMammalBiogeographyMossGeographyNatural (archaeology)EcologyBiology

Abstract

fetched live from OpenAlex

From 1890 to 1899, the Reverend John Henry Keen collected plants and animals in the vicinity of the Anglican mission at Massett, on the north-central coast of the Queen Charlotte Islands (Haida Gwaii), British Columbia, Canada. Keen's prodigious collecting efforts resulted in the first detailed information on the natural history of that region, particularly of the beetle fauna. Keen also observed and collected mammals, depositing specimens in museums in Canada, England and the United States, for which a catalogue is given. Several mammal specimens provided the basis for new distributional records and nine new taxa, two of which were named for Keen. In 1897, Keen prepared an annotated list of ten taxa of land mammals of the Queen Charlotte Islands, including the first observations of natural history for some of the species. Particularly important were the insightful questions Keen raised about the evolution of mammals isolated on the Islands, especially why certain species, abundant on the mainland, were absent.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.983

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 studies0.0000.002
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 head0.007
GPT teacher head0.185
Teacher spread0.178 · 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 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

Citations2
Published2017
Admission routes2
Has abstractyes

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