Cultural politics of Netflix in local contexts: A case of the Korean media industries
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
This paper analyzes how stakeholders in the Korean media industries understand the penetration of Netflix and other foreign streaming video-on-demand (SVoD) platforms and how they respond to global SVoD players. Based on interviews with cultural workers and bureaucrats, the findings of this paper explore how stakeholders in the media industries interpret Netflix as both an investor who would enable them to produce a variety of content and introduce their products worldwide and as a competitor that has the potential to threaten domestic media production. Considering structural asymmetries caused by disparities in technologies and financial strength between local and global players in the market, as well as the distribution power which streaming moguls have enjoyed for years, the growing presence of Netflix in the domestic market may reduce the position of Korean media production as mere subcontractors of the platform. The paper’s findings shed light on analyzing the relationship between global streaming platforms and local cultural producers.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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