MétaCan
Menu
Back to cohort
Record W2158308591 · doi:10.1644/08-mamm-a-253.1

Revised Distribution of the Alaska Marmot, Marmota Broweri, and Confirmation of Parapatry with Hoary Marmots

2009· article· en· W2158308591 on OpenAlexaboutno aff
Aren M. Gunderson, Brandy K. Jacobsen, Link E. Olson

Bibliographic record

VenueJournal of Mammalogy · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
FundersAlaska Department of Fish and GameNational Science FoundationYale UniversityU.S. Fish and Wildlife ServiceU.S. Department of AgricultureNational Park ServiceU.S. Forest ServiceMassachusetts Department of Fish and Game
KeywordsMarmotParapatric speciationSubspeciesRange (aeronautics)GeographyAllopatric speciationEcologyBiologyPopulationDemography

Abstract

fetched live from OpenAlex

The distribution and taxonomic status of the Alaska marmot (Marmota broweri) have been the subject of much debate and confusion since the taxon was 1st described as a subspecies of the hoary marmot (M. caligata). As a result of its early association with M. caligata and a lack of focused effort to determine its range, our current understanding of the distribution of M. broweri is vague at best and completely erroneous at worst. Through a review of all museum specimens and published accounts of this species, field surveys, and the identification of previously unidentified marmot specimens, we have determined that the current distribution of the Alaska marmot includes not only the Brooks Range, but also the Ray Mountains and Kokrines Hills of northern interior Alaska. We report the 1st confirmed records of this species outside of the Brooks Range and a commensurate range extension of 400 km southward. The Yukon River appears to form the current boundary between the parapatric distributions of M. broweri and M. caligata in Alaska, but additional fieldwork will be necessary to confirm that the 2 species are not allopatric.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.206
Teacher spread0.198 · 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.

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

Citations17
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of MammalogySame topicSpecies Distribution and Climate ChangeFrench-language works237,207