Digital dilemmas in the (post-)pandemic state: Surveillance and information rights in South Korea
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drawing on South Korea’s response to COVID-19, this article examines how the digital measures that were implemented by the nation state during the pandemic intensified the dilemma between public safety and information rights. South Korea’s highly praised handling of COVID-19 raises the question of how far digital technology can infiltrate everyday life for the sake of public safety and how citizens can negotiate the rapid digital transformation of a nation state. The South Korean government’s digital measures during the pandemic involved the extensive use of personal data; however, citizens were not allowed sufficient participation in the flow of information. By critically examining the South Korean case, this article reveals that the government coped with the pandemic through digital surveillance as a way to avoid physical lockdown, and in so doing, projected its desire for transition to a digitally advanced state while facilitating nationalism through a digital utopian discourse.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.012 |
| Open science | 0.001 | 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 it