Modeling Cultural Content for Outreach Programs in Marginalized Communities in Asia: A Case Study of South Korea
Bibliographic record
Abstract
Wherever quality of life continues to improve, people turn to cultural and artistic pursuits to enhance their life experience. Hence, cultural and art education is encouraged in museums, galleries, and schools for public benefit and enjoyment regardless of differing social classes. Cultural content has developed since the beginning of culture itself, and education related to this content is crucial as it can improve public perspectives. However, many culturally alienated groups still exist due to financial difficulties, disabilities, or living in remote areas, and they lack fair opportunities to enjoy culture and art. The polarization between these groups and culturally-benefited classes continues to increase. Outreach programs have been conducted by museums and galleries as ‘visiting classes’ for those who find it difficult to visit traditional venues. Using Dewey’s educational philosophy and four different case studies, this study provides an in-depth examination of outreach programs and suggests a model for Asian countries by focusing on South Korea. The findings seek to aid ongoing educational efforts to create long-term effects for the public’s benefit.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".