Incorporating the United Nations Sustainable Development Goals and green chemistry principles into high school curricula
Bibliographic record
Abstract
A perspective on incorporating the United Nations Sustainable Development Goals (UNSDG) and Green Chemistry Principles (GCP) into high school chemistry curricula is presented. The framework is based upon the Johnstone-Mahaffy model for chemistry understanding which specifically links student learning to the affective or human-centred domain. Reference is made to the origins of high school chemistry curricula, recommendations from the recent Royal Society of Chemistry survey Green Shoots: A Sustainable Chemistry Curriculum for a Sustainable Planet, student engagement practices, and studies in adolescent mental health. The origins and organization of the UNSDG and GCP are outlined, with the similarities to high school chemistry curricula illustrated. Justification for the implementation of the UNSDG and GCP is given, with a specific example presented in the context of the International Baccalaureate chemistry curriculum, and the GCP are rendered in educator- and student-appropriate language.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".