Física e música: o uso de canções como ferramenta auxiliar no ensino de física
Bibliographic record
Abstract
In this work we present a didactic proposal to use song lyrics for Physics Teaching aimed to High School level. Based on the work proposed by Zanetic (1990) that Physics is also Culture, we understand that its influence extends beyond the scientific boundaries, reaching spheres of knowledge where its presence is less obvious, such as the arts, especially Music. Based on proposals for Ramos and Gomes (2013), activities were conducted in two groups of second year of high school in the city of Rio Claro, each with an approach. In one of the classes the students received as material the lyrics of the songs printed and the other students were given a table along with the lyrics. In these materials the students identified physical concepts present in the songs Nuclear Shelter of the São Paulo band Premeditando the Breque and Manhattan Project of the Canadian band Rush. We observed during activities an improvement in the participation of students in theoretical discussions, probably due to a more favorable context for students to express themselves assigned by us to the activities with the songs. After performing the activities we demonstrated that you can enter the Music in the classroom not only as entertainment but as an aid in research and understanding of physical concepts
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| 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; 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".