Korean Chaekgeori Paintings: A Research-Creation Approach to Intercultural Art Education and Heuristic Thinking
Bibliographic record
Abstract
This heuristic research-creation thesis paper considers and analyzes how the process of producing a series of work using Asian watercolours and contemporary approaches to chaekgeori – a Korean ‘oriental painting’ genre from the Joseon Dynasty (1392-1897) can be translated to an intercultural art education approach. This genre depicts a Korean scholar’s tools, books, and foreign objects and continues to interest contemporary artists to this day due to its occasional use of Western painterly devices such as tromp l’œil and chiaroscuro. My body of work will conceptually depict notions of ‘cultural translation,’ ‘third-space’ and interculturality as an art education approach that respects diverse traditions and cultures. \n The objective of this study is to understand the ways in which we make art by experimenting with Asian watercolours technically (applying layers, blending, focusing on detail) as well as conceptually using the chaekgeori painting genre. I support my prediction that my Canadian upbringing will intermingle with my Korean heritage as I implement traditional Korean techniques through the paintings produced. I also present contemporary artists from South Korea who work with ‘oriental painting’ such as Kyung-Min Nam who depicts Korean scholars’ studies and Western artists’ studios. Through this studio-based project, I convey as a Korean-Canadian artist-educator that (1) the act of creation and practice is just as, if not more, important than the final outcome and (2) pushing boundaries of tradition results in an intercultural approach to art education that highlights the significance of heuristic thinking and learning through a hybrid practice of mediums and practices.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".