MétaCan
Menu
Back to cohort
Record W124942264 · doi:10.26749/rstpp.141.1.67

Climate and climate change in the sub-Antarctic

2007· article· en· W124942264 on OpenAlexfundno aff
Stephen Pendlebury, IP Barnes-Keoghan

Bibliographic record

VenuePapers and proceedings of the Royal Society of Tasmania · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersBritish Antarctic SurveyMet OfficeMcGill UniversityNational Institute of Water and Atmospheric Research
KeywordsClimate changeClimatologyEnvironmental scienceClimate commitmentAbrupt climate changeGeographyEffects of global warmingGlobal warmingGeologyOceanography

Abstract

fetched live from OpenAlex

Meteorologically, the sub-Antarctic is sparsely represented in the climate literature. Drawing on a variety of sources that are either directly or indirectly linked to the sub-Antarctic, an overview of the climate of the sub-Antarctic is presented, In doing so, we note that, for the most part, the sub-Antarctic climate is more or less fixed to mean monthly air temperatures between -5C and +15C. Brief discussion explores the roles of teleconnections that appear to affect the sub-Antarctic climate, focusing on the Southern Hemisphere Annular Mode (SAM). We report on meteorological evidence of climate change that has occurred in the recent history of the sub-Antarctic and note that rainfall dimate-change signals from Marion and Macquarie islands are consistent with trends associated with the SAM index. We report that modelling suggests that the climate of the sub-Antarctic will continue to change through the twenty-first century in line with twentieth-century trends. The need for more research into the climate of the sub-Antarctic, underpinned by a robust databank of quality controlled sub-Antarctic meteorological data, is noted.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.222
Teacher spread0.209 · 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
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

Citations62
Published2007
Admission routes1
Has abstractyes

Explore more

Same venuePapers and proceedings of the Royal Society of TasmaniaSame topicClimate variability and modelsFrench-language works237,207