An Educational Bridge across the Cultural Divide: Teaching Art to Science Students and Science to Art Students
Bibliographic record
Abstract
two cultures divide between art and science remains a problem, and it is aggravated by an educational system that compartmentalizes programs of study. Thus a course that focuses on the connection between art and science is a useful corrective. I have had extensive personal experience teaching such an unusual course, The Psychology of Art and Creativity, which is offered as a valid elective for both science and art majors. My experience is that both groups gain a much greater understanding and appreciation of each other's chosen field of endeavour. It is important in such a course to include exposure to actual artworks in every genre, rather than primarily focusing on criticism and analysis. Personal subjective opinions have to be more openly welcomed than in the traditional academic approach, while making a clear distinction between personal preference and objective judgment. One useful pedagogical tool is an informal reflective journal where students write as much, or as little, as they want about each of the class themes. Also useful are online discussion forums where students can bounce ideas off of each other and share their enthusiasms.
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.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.000 |
| 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".