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Record W4366606708 · doi:10.1002/9781119828242.ch13

Impacts of Climate Change on Polar Ice

2023· other· en· W4366606708 on OpenAlexaff
Mohammed Shokr, Nirmal K. Sinha

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsNational Research Council CanadaEnvironment and Climate Change Canada
Fundersnot available
KeywordsSea iceArctic sea ice declineClimate changeArctic ice packClimatologyArcticEnvironmental sciencePolarCryosphereForcing (mathematics)Ice-albedo feedbackGlobal warmingOceanographyAntarctic sea iceGeology

Abstract

fetched live from OpenAlex

Climate change may happen due to natural causes, or anthropogenic causes. While addressing the impacts of global warming on the two polar regions, it is important to keep in mind that the Arctic is an extensive territory of sea ice. This chapter starts by addressing key differences between sea ice in the two polar regions in terms of types, duration, advection, and physical properties. These differences regulate the differences in response to climate change. Recent decadal changes in sea ice (in terms of ice extent, thickness, volume, age, dynamics, and presence of icebergs) are addressed, with more focus on the Arctic region where more significant changes have been observed. Reasons for the observed change are then presented for the Arctic and Antarctic separately, with emphasis on the peculiarities of each region. The coupling between the polar sea ice and the environment is summarized to identify the role of each environmental forcing on the observed changes.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.020
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.003

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 head0.019
GPT teacher head0.231
Teacher spread0.213 · 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
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

Citations2
Published2023
Admission routes1
Has abstractyes

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