A study on the need to strengthen multicultural education using assimilationism and harmonize multicultural policies for development
Bibliographic record
Abstract
South Korea's population is decreasing due to low birth rate and aging population. On the other hand, the number of multicultural families is gradually increasing. In this situation, South Korea needs to preserve and pass on Korean values to future generations and at the same time promote policies that are receptive to change and change for the benefit of the country and the people. Assimilationism refers to learning about cultures that historically have been held by the majority and are considered spiritually important and education using assimilationism is necessary and should be respected in the future. At the same time, policies that can achieve harmony in a developmental direction should be promoted while providing multicultural education through assimilationism. Countries such as the United States, Australia and Canada are also pursuing integrated policies based on assimilationism and policies that recognize and respect diversity. South Korea should utilize assimilationism in a positive direction to implement multicultural education and promote policies that embrace diversity while respecting Korean values.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| 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".