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Brazilian Network on Global Climate Change Research (Rede CLIMA):

2013· article· pt· W2169192525 on OpenAlex
Eduardo Moraes Arraut, Paulo Nobre, Carlos A. Nobre, Fabiano M. Scarpa

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSustainability in Debate · 2013
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental and biological studies
Canadian institutionsNetwork for Business Sustainability
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyPhilosophy

Abstract

fetched live from OpenAlex

A fim de criar o conhecimento científico necessário para o Brasil entender e lidar com as causas e consequências das mudanças climáticas, o governo federal criou, em 2007, a Rede Brasileira de Pesquisa em Mudanças Climáticas Globais (Rede CLIMA). A Rede CLIMA precisa discutir questões, fazer perguntas, desenvolver metodologias e produtos tecnológicos, encontrar respostas e sugerir soluções que sejam relevantes para a sociedade. Em sua primeira fase, a Rede concentrou-se em fornecer infraestrutura e consolidar suas sub-redes. Houve também vários avanços científicos, alguns dos quais são apresentados em seções focadas em modelagem climática, agricultura, energia e água, desenvolvimento e mobilidade humana, biodiversidade e serviços dos ecossistemas, e saúde humana. Agora, em sua segunda fase, o objetivo é estabelecer colaborações entre sub-redes por meio de projetos interdisciplinares. Argumenta-se que, para que tenha sucesso, a Rede precisa fomentar pesquisas de longo-prazo cujo mérito não seja medido apenas pela produção acadêmica.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.006

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 head0.050
GPT teacher head0.336
Teacher spread0.286 · 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