The Interdisciplinary Approach of the Content “Transformation of Energy” in High School
Bibliographic record
Abstract
The professional high school by the federal schools in Brazil requires an integrated curriculum itinerary. There is a lack of information about how to achieve that in a practical conception of integration. This article aimed to investigate the interdisciplinary approach of the content “transformation of energy” involving the relationship among Science, Technology, Society, and Environment (STSE) in integrated high school. The applied research procedure was a pedagogical intervention in which research subjects were the third year high school students, integrated into the technical course in food (n = 36) at the Federal Institute of Rio Grande do Norte, municipality of Pau dos Ferros, Brazil. The process of planning, execution, and evaluation of the interdisciplinary teaching sequence was carried out by teachers and researchers from different areas i.e., forest engineering, chemistry, phisycs, and physical educational. The data were compiled and evaluated through thematic analysis. The results showed that interdisciplinary learning favors scientific and environmental literacy, conceptual changes, expanded discussions, and the integration of the curriculum.
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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 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".