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Record W3034510958 · doi:10.1590/0103-6351/4835

De tragédia a solução: a atualidade teórica e empírica dos recursos comuns no Brasil

2020· article· pt· W3034510958 on OpenAlexaff
M. Ángeles César, Ivette Luna, Ellie Perkins

Bibliographic record

VenueNova Economia · 2020
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsSociologyBusinessPhilosophy

Abstract

fetched live from OpenAlex

Resumo Este artigo tem como objetivo apresentar a atualidade do estudo dos recursos comuns no Brasil, expondo como o tema evoluiu, tanto na teoria quanto na prática. Primeiramente, faz-se uma revisão teórica sobre o tema, de modo a apresentar ao leitor as proposições acadêmicas mais recentes na área. Em seguida, expõe-se o conceito de “recursos comuns tradicionais”, destacando suas características e principais divisões. Em seguida, é feito um levantamento de relevantes pesquisas brasileiras que lidaram com a questão empiricamente. Finalmente, apresenta-se o conceito de “novos recursos comuns” e de que modo essa categoria pode servir como solução teórica a diversos problemas contemporâneos. De maneira geral, percebe-se que o próprio conceito de recursos comuns se expandiu nos últimos anos, de forma a abranger o estudo de diferentes falhas de coordenação entre agentes, numa realidade na qual os problemas atuais são cada vez mais vistos como problemas coletivos.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.811
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.015

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 head0.205
GPT teacher head0.358
Teacher spread0.153 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2020
Admission routes1
Has abstractyes

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