MétaCan
Menu
Back to cohort
Record W2321765288 · doi:10.3354/meps09406

Sea ice and polar bear den ecology at Hopen Island, Svalbard

2011· article· en· W2321765288 on OpenAlexaff
Andrew E. Derocher, Magnus Andersen, Øystein Wiig, Jon Aars, E. Hansen, Martin Biuw

Bibliographic record

VenueMarine Ecology Progress Series · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsUniversity of Alberta
FundersNorsk PolarinstituttNorges Forskningsråd
KeywordsUrsus maritimusSea iceGeographyOceanographyEcologyBiologyGeology

Abstract

fetched live from OpenAlex

The maternity denning of polar bears Ursus maritimus was studied at Hopen Island, Svalbard, Norway, using information collected by direct observation and live-capture of females and cubs during den emergence in spring of 1994 to 2008. The number of maternity dens observed annually varied from 0 to 36. The arrival of sea ice at Hopen Island in autumn shifted from late October to mid-December during the period 1979 to 2010. Fewer maternity dens were found on Hopen Island in years when sea ice arrived later in the autumn. There were no significant differences in body mass or litter size between female polar bears denning on Hopen Island and females caught elsewhere in Svalbard; however, females denning on Hopen Island were significantly younger than females denning elsewhere in Svalbard. Later arrival of sea ice in the autumn at Hopen Island was correlated with lower body mass of adult females and their cubs at emergence. The timing of arrival and departure of sea ice is highly variable but a trend of later arrival in autumn may be affecting the denning ecology of polar bears at the southern extent of their range in Svalbard.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.006
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.001

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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; both teacher heads agree on what is shown here.

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

Citations99
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueMarine Ecology Progress SeriesSame topicMarine animal studies overviewFrench-language works237,207