Developing green chemistry educational principles by exploring the pedagogical content knowledge of secondary and pre-secondary school teachers
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Green chemistry developed historically from twelve industrial principles for research chemists. Recently, interest has grown to begin introducing these principles in science classrooms even at the secondary and pre-secondary school levels. However, teachers must do significant work to adapt and translate green chemistry from the industrial or manufacturing perspective into one more appropriate to students at younger ages. This research project explores how a group of current teachers in the US and Canada have been developing their language and understanding of green chemistry through Beyond Benign's Lead Teacher Program. Transcripts from phone interviews with program participants are analyzed to propose a classroom-based definition of green chemistry and its justification as an approach at the secondary and pre-secondary school levels. This pedagogical understanding provides a foundation to solidify green chemistry as a standard practice in science education. Then classroom observations and case studies of four teachers are developed into a framework for green chemistry education at the K-12 level.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it