E-contests in Mathematics: Technological Challenges versus Technological Innovations
Bibliographic record
Abstract
Resumo: Este estudo apresenta a ideia do e-concurso para matematica. A ideia se baseia no processo de resolucao de problemas em ambiente computacional e na avaliacao do processo de solucao na aplicacao da matematica, incluindo o resultado do trabalho. Esta avaliacao orientada a processo pode promover a integracao de ferramentas cognitivas na tecnologia e introduz problemas varios tipos de problemas no concurso em matematica. A habilidade de avaliar eletronicamente os estudantes pode promover o interesse dos alunos pela matematica e melhorar suas habilidades cognitivas. Adicionalmente, a disponibilidade dos e-concursos pode incluir mais estudantes ao acesso e beneficios dos concursos em matematica. Palavras-chave: e-concursos, avaliacao em matematica, habilidades cognitivas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".