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
Diverse forces shape the teaching and learning of chemistry at the beginning of the 21st Century. These include fundamental changes in the contours of chemistry as defined by new interfaces and research areas; changes in our understanding of how students learn, and how that applies to chemistry education; the wide-spread implementation of computer and information technologies to visualize complex scientific phenomena; and external forces, such as global concerns about energy and water resources and the environment, and the level of chemical literacy and public understanding of science. In responding to those forces, new dimensions to learning chemistry must be emphasized. Tetrahedral chemistry education is a new metaphor that emphasizes these dimensions, stressing the importance both of the human learner and the web of human connections for chemical reactions and processes. Examples of ways to build on this metaphor in five areas of the chemistry curriculum are outlined. [Chem. Educ. Res. Pract.: 2004, 5, 229-245]
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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