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Record W6917236800 · doi:10.57757/iugg23-4633

ECS Awardee 2023: The interactions between ice, sea level and the solid Earth in Antarctica and their global impacts

2023· article· en· W6917236800 on OpenAlexaff

Bibliographic record

VenuePublication Database GFZ (GFZ German Research Centre for Geosciences) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsMcGill University
Fundersnot available
KeywordsIce sheetSolid earthFuture sea levelAntarctic ice sheetLead (geology)Post-glacial reboundSea iceClimate changeSea levelCryosphere

Abstract

fetched live from OpenAlex

<!--!introduction!--><b></b> Marine sectors of the Antarctic Ice Sheet are prone to runaway retreat in a warming climate with global consequences. Observation and modelling-based studies suggest that these sectors have collapsed in the past and have the potential to contribute significantly to sea-level change in coming centuries, but the extent and timing of ice loss remains uncertain. Constraining ice cover changes in Antarctica is challenging because the solid Earth, water and ice systems are strongly linked, and key processes are often buried under the ice and take place on a range of spatiotemporal scales. To complicate matters, modern measurements of these systems contain a large signal from glacial isostatic adjustment (GIA) due to past ice mass changes, but Earth structure beneath areas of active ice sheet retreat in Antarctica is characterized by significant lateral variability, making the GIA signal challenging to constrain.&nbsp;This talk will summarize a progression of work bringing together the fields of glaciology, climate science and solid Earth geophysics to characterize the interactions between ice, sea level and the solid Earth in Antarctica and their implications for past and future global sea-level changes.&nbsp;&nbsp;&nbsp;

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.091
GPT teacher head0.358
Teacher spread0.267 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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