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Ecologia, cooperação internacional e configuração biogeográfica do Brasil: Pierre Dansereau e o acordo científico Brasil-Canadá nos anos 1940

2017· article· pt· W2758513885 on OpenAlexaffabout
Dominichi Miranda de Sá, Magali Romero Sá, Steven Palmer

Bibliographic record

VenueVaria Historia · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsGeographyHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Resumo O artigo analisa o trabalho realizado no Brasil pelo ecólogo canadense Pierre Dansereau (1911-2011), por meio de acordo científico firmado entre a Divisão de Cooperação Intelectual do Ministério das Relações Exteriores e a Embaixada do Canadá no país em 1944. Dansereau é considerado um dos principais nomes da ecologia no século XX e veio ao Brasil em 1945 como diretor do Serviço de Biogeografia da Província do Québec. Seu plano de estudos ecológicos previa expedições científicas, formação de pessoal especializado e perspectivas de cooperação internacional com instituições como o Museu Nacional, o Conselho Nacional de Geografia e o Instituto Oswaldo Cruz. Sua viagem ao Brasil permite analisar as inter-relações entre a geopolítica do desenvolvimentismo brasileiro, o nacionalismo quebequense, o panamericanismo como movimento intelectual e a tentativa de estabelecimento de rede francófona de pesquisa em biogeografia, ecologia e sociologia vegetal.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.994
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.038
GPT teacher head0.264
Teacher spread0.227 · 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.

Study designQualitative
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

Citations2
Published2017
Admission routes2
Has abstractyes

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