Bibliographic record
Abstract
This edition of Pacific Focus showcases a suite of five scholarly articles that manifest a diverse array of methodologies, merging theoretical discussions with historical case analyses.The first three articles address the incorporation of new demographic groupsnamely foreign immigrants, overseas Koreans, and refugeesinto South Korean society since the post-Cold War period of the 1990s. 1 These articles particularly delineate the influx of these varied immigrant groups, reflecting the shifts within a globalizing South Korean milieu and its adaptive responses to such changes.Traditionally, Korea was a bastion of ethnic uniformity.Yet, this narrative began its evolution in the post-Cold War era as Korea transitioned from a land of emigration to one of immigration.This period saw the introduction of foreigners, overseas Koreans, refugees, and North Korean defectors into the fabric of South Korean society, reshaping its social terrain through their interactions within the nation.These groups have risen to prominence as critical elements for comprehending the contemporary South Korean societal construct and have exerted an expanding influence on Korea's global interactions.Thus, Korean Studies scholarship in the domain of ethnicity, migration, and identity politics has burgeoned in the 21st century, highlighting interest in the internationalization of Korean society, governance by the Korean government of new societal members, and the resultant interplays, perceptions, attitudes, policies, and regulatory frameworks.While the initial three articles concentrate on the governance of foreign immigrants, overseas Koreans, and refugees by the Korean government, the
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".