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Avaliação dos programas de pós-graduação em engenharia da UFRJ empregando uma variante desenvolvida do método UTA

2003· article· pt· W2074779225 on OpenAlex

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

VenuePesquisa Operacional · 2003
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Public Policy
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

O processo de avaliação em uma organização é geralmente muito complexo, principalmente no meio acadêmico, onde estão presentes diversos interesses, desempenho dos cursos, imagem perante a classe acadêmica e recebimento de recursos, entre outros. Este artigo procura estimar as funções de utilidades dos critérios: pesquisa, horas em sala de aula, orientação e administração, definidos pela Comissão de Avaliação de Docentes da Universidade Federal do Rio de Janeiro, para avaliar os programas de pós-graduação em engenharia da universidade. Neste estudo, empregou-se o método UTA e uma variante desenvolvida do mesmo que considera as diferenças de importância dos critérios empregados na avaliação. Os resultados obtidos com este procedimento mostram funções de utilidades mais próximas das preferências dos decisores, uma vez que essas preferências são incorporadas ao modelo através da inclusão de restrições.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.003

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 head0.074
GPT teacher head0.378
Teacher spread0.305 · 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