SEMANA DA ENGENHARIA CIVIL DA UNIVERSIDADE FEDERAL DE SÃO CARLOS: RESULTADOS DO RETORNO PRESENCIAL PÓS PANDEMIA
Bibliographic record
Abstract
Resumo: O presente trabalho apresenta os resultados obtidos durante a XV Semana da Engenharia Civil (SECiv) da Universidade Federal de São Carlos (UFSCar).A Semana Acadêmica foi organizada pelos atuais alunos da graduação, e tem como objetivo aproximar os estudantes do mercado de trabalho e das diferentes oportunidades existentes no ramo da Engenharia Civil, além de aumentar a sinergia entre as turmas do curso.A XV edição do evento, realizada em 2022, retomou as atividades presenciais, após dois anos de evento na forma remota, tendo um impacto positivo na vida acadêmica dos alunos, o que gerou uma boa avaliação por parte deles.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".