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Record W3164869979 · doi:10.1002/9781118561461.ch12

A Fleet of Silver

2021· other· en· W3164869979 on OpenAlexaffabout
Astrid E. J. Ogilvie, Brian T. Hill, Gaston R. Demarée

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSea iceSubarctic climateArctic sea ice declineOceanographyArctic ice packArcticArctic dipole anomalyNorth Atlantic oscillationCryosphereDrift iceClimatologyGeologyArctic geoengineeringGeographyPhysical geography

Abstract

fetched live from OpenAlex

This chapter draws upon ongoing work on the past sea-ice record for Iceland, as well as research on sea-ice records for the Labrador Sea and considerations of current issues of sea-ice impacts in Labrador/Nunatsiavut. It presents sea-ice variations from ca. 1815 to the present and the role of sea ice as experienced by two Arctic/Subarctic populations, that of the island of Iceland and coastal Labrador/Nunatsiavut, both geographically situated in the northern North Atlantic Ocean. Dramatic changes are occurring in the Arctic and Subarctic. Iceland is situated at the seasonal boundary of the Arctic sea ice, which is important feature of the climate. The impact of sea-ice variability on human life can be traced back to the role of the North Atlantic Oscillation and potentially a forcing mechanism in the high Arctic climate system. Iceland is well known for its rich literary tradition, which includes a wealth of historical records containing accounts of climate and weather.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.308
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.002
Scholarly communication0.0080.008
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.3080.181

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 head0.010
GPT teacher head0.203
Teacher spread0.193 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2021
Admission routes2
Has abstractyes

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