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Record W7120695673

Emerging universities in Brazil : experiences of Unila, UFSB and UFFS

2021· article· pt· W7120695673 on OpenAlexaboutno aff
Rafael Arenhaldt, María Elly Herz Genro, Jaime José Zitkoski, Elizabeth Diefenthaeler Krahe, Lúcio Jorge Hammes, Nádia Fátima dos Santos Bucco, Bernardo Sfredo Miorando, Camila Tomazzoni Marcarini, Claudete Lampert Gruginskie, Nilson Carlos da Rosa, Renata Castro Gusmão, Vanessa Rodrigues Porciúncula, Lilo Gonzales Dermann, Jurema Garcia Machado

Bibliographic record

VenueLume (Universidade Federal do Rio Grande do Sul) · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicEvasion and Academic Success Factors
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)PoliticsAutonomySubject (documents)Qualitative researchHigher education
DOInot available

Abstract

fetched live from OpenAlex

Este ensaio é resultado da pesquisa Universidade, Formação Política e Bem Viver: Estudo dos Projetos de Universidades Emergentes no Brasil tendo por cenário as experiências de três universidades recentemente criadas no Brasil: a Universidade da Integração Latino Americana (Unila), a Universidade Federal da Fronteira Sul (UFFS) e a Universidade Federal do Sul da Bahia (UFSB). Destaca elementos históricos disruptivos nos processos de construção das universidades brasileiras e seus movimentos instituintes em contextos emergentes, com foco nas dimensões da interdisciplinaridade; da articulação ensino, pesquisa e extensão e do diálogo com a comunidade. Para tanto, este ensaio de abordagem qualitativa consistiu em análise bibliográfico-documental das instituições estudadas em diálogo com Goergen, Laval, Martins, Santos e Trindade. Os resultados apontam que essas universidades acompanharam as tendências atuais da universalização da educação superior, inclusiva, interdisciplinar e com compromisso social. No Brasil essas experiências caminham entre as “certezas do passado e incertezas do futuro”, cientes de que ações governamentais com mudanças constitucionais, cortes nos orçamentos e restrições às liberdades acadêmicas e à autonomia universitária, representam um retrocesso nas construções que emergiram destes novos projetos de universidade.

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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.017
GPT teacher head0.292
Teacher spread0.274 · 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 teacher head, 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueLume (Universidade Federal do Rio Grande do Sul)Same topicEvasion and Academic Success FactorsFrench-language works237,207