CIÊNCIA NAS ESCOLAS: FORMAÇÃO DE UMA GERAÇÃO DE ENGENHEIROS E CIENTISTAS DO FUTURO CONSCIENTES DO SEU PAPEL DE TRANSFORMAÇÃO SOCIAL
Bibliographic record
Abstract
The importance of scientific events in academic and professional training has the ability to enrich such training by enabling the exchange of information, adding different experiences in an environment aimed at the communication of knowledge. University extension projects make it possible to organize this type of activity, thus contributing to a more complete student education that is sensitive to the social environment in which they are involved, given that the current job market does not only require technicality, but criticality in its professionals. Developed over two editions, the Dialogues About Renewable Energies project promoted an approach to the Center for Science and Technology in Energy and Sustainability with the labor market and other technical-scientific institutions, enabling its students to acquire a range of knowledge regarding the most pertinent issues currently in the field of renewable energies. This work summarizes the experiences of carrying out the two editions of the project and correlates the data collected in this period in order to understand the effectiveness of these actions.
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 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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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; both teacher heads agree on what is shown here.
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".