Bibliographic record
Abstract
This paper aims to capture the complex process through which former socialist North Koreans are remade as South Koreans. I argue that the process by which border crossers from North Korea are remade into post-socialist subjects is complex and multi-dimensional. I address the interlocked nature of institutions and subjectivities in citizen-making processes. On the one hand, it involves the institutionalizations of border crossers with the purpose of screening out "dangerous socialist subjects" for security reasons, followed by "post-socialist" education at Hanawon. On the other hand, it also entails the cultural dynamics of the citizen-making processes. Border crossers are taught not only about political democracy and the economic market, but the cultural learning of resilience to cope with hardship and uncertainty in South Korea. This paper finds two distinctive responses to the cultural learning of resilience—fear and rejection. In this sense, the institutionalizations and the cultural teaching of resilience have unintended consequences. These citizen-making processes raise the question of what characterizes normal subjectivity in a modern, marketized economy. Rather than accepting these normal assumptions as given and natural, this paper tries to uncover hidden assumptions and to problematize the arbitrariness of these normative assumptions. What appears normal, rational, free, and democratic can be actually accidental, temporary, absurd, and socially constructed. This paper attempts to challenge and demystify the meaning of rational, free, democratic, resilient, and normative citizenships that tend to be taken for granted.
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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".