An Interactive Exploration of the Societal Impacts of Inorganic Chemistry─A Base Metal View on Sustainable Catalysis
Bibliographic record
Abstract
Sustainable development and green chemistry applications are at the forefront of research and chemistry education as chemists begin to respond to the transgression of planetary boundaries, such as the climate crisis. As such, innovative methods to explore learning and research at chemistry conferences (the professional’s classroom) are required to assist researchers in building their professional network, innovating in their field, and expanding their knowledge in sustainable design. Herin, we describe the development and application of a series of real-world, active learning activities focused on sustainability as it relates to inorganic chemistry, specifically base metal catalysis. Together the activities were hosted during the Societal Impacts of Inorganic Chemistry symposium at the 2023 Canadian Chemistry Conference and Exhibition, representing the first example of a hands-on symposium in the inorganic division at this conference. Due to the broad range and application of the symposium activities described, researchers and educators alike can take inspiration from this interactive approach to engage their communities in the discussion of sustainability and inorganic chemistry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".