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Record W180091473 · doi:10.18055/finis1379

The International Polar Year 2007-08 and the development of portuguese research on Antarctic permafrost

2012· article· en· W180091473 on OpenAlexaff
Gonçalo Vieira

Bibliographic record

VenueFinisterra · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsActivation Laboratories
FundersUniversidade de Lisboa
KeywordsPermafrostOutreachPortugueseScope (computer science)Political scienceClimate changeGeographyRegional sciencePhysical geographyLibrary scienceOceanographyGeology

Abstract

fetched live from OpenAlex

portuguese Antarctic permafrost research has developed fast in the last decade. The research was initiated by the centre for Geographical Studies of the university of lisbon in the framework of a collaboration with the university of Alcalá (Spain) and the Spanish Antarctic programme in 1999. In 2007 and 2008, collaborations have extended, respectively to the bulgarian and Argentinean programmes. The critical mass has grown substantially since then and other institutions are now also involved on the research activities. The development of scientific activities was fostered by the International polar year 2007-08 and supported by funding from public and private institutions. A wide-scope education and outreach project has significantly contributed to the public and political awareness of the science programme, and a close interaction between scientists and society has developed. The main research topics are permafrost, active layer and geomorphological processes monitoring, with an emphasis on detection of climate change signals.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.122
GPT teacher head0.328
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; 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 designNot applicable
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

Citations1
Published2012
Admission routes1
Has abstractyes

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