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AS CONTRIBUIÇÕES DE UMA UNIVERSIDADE COMUNITÁRIA NO FOMENTO À INOVAÇÃO: UM ESTUDO AMPARADO NO CONCEITO DA TRÍPLICE-HÉLICE

2017· article· pt· W2493614966 on OpenAlexaff
Thiago Henrique Almino Francisco, Marina Keiko Nakayama, Miguelangelo Gianezini, Yuri Borba Vefago

Bibliographic record

VenueRevista Destaques Acadêmicos · 2017
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicUniversity-Industry-Government Innovation Models
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

O estudo busca elucidar questões que posicionam uma Instituição de Educação Superior no contexto do desenvolvimento de políticas de inovação, ciência e tecnologia, pautado na elucidação das contribuições de uma universidade comunitária para o fortalecimento das políticas de inovação, ciência e tecnologia na região sul do estado de Santa Catarina. As contribuições teóricas elencam aspectos relacionados à sociedade do conhecimento e a contribuição das políticas de inovação, ciência e tecnologia e da tríplice-hélice para a materialização de uma sociedade baseada em um novo fator de produção. A pesquisa, pautada em uma visão de mundo interpretativista e com uma abordagem qualitativa, fez uso de métodos de pesquisa bibliográficos e documentais para a coleta de dados. Aos resultados, cabe destacar o papel da universidade estudada na perspectiva de fomentar uma das estruturas da tríplice-hélice, de modo que a contribuição para o desenvolvimento das políticas de inovação, ciência e tecnologia possam estar cada vez mais incorporadas em sua identidade institucional.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0160.007
Scholarly communication0.0090.003
Open science0.0020.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.036
GPT teacher head0.284
Teacher spread0.248 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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