Educação para o futuro: uma abordagem sobre novas possibilidades de carreiras / Education for the future: an approach to new career possibilities
Bibliographic record
Abstract
O presente artigo pretende dialogar sobre evolução do trabalho e novas possibilidades de carreiras, que surgem com o advento da tecnologia tanto pela evolução de determinadas funções quanto pelo redesenho de atividades que acabam se tornando mais multidisciplinares, como no reflexo na formação requerida para a realização de novos tipos de trabalho profissional. Neste contexto, a formação oferecida pelas universidades e faculdades são endossadas pela aprendizagem nas organizações, seja como programa de desenvolvimento interno ou até como programa aberto de troca de conhecimento. Neste cenário de olhar para o futuro, pretende se trazer para a discussão em que sentido a educação e o surgimento de novas possibilidades de carreira andam conjuntas.
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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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".