Digital content promotion in Japan and South Korea: Government strategies for an emerging economic sector
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
Abstract Already leading the world in the development of consumer electronics, South Korea and Japan have been leading innovators in the creation of digital content economies. Both governments recognized both the commercial potential and the employment possibilities associated with the digital content industry. The sector, however, did not fit easily with existing industrial and technological models of economic development, particularly due to the small size of digital firms, the youth culture orientation of most products and services, and the antiestablishment ethos of the creative industries generally. In Japan, digital content firms created a robust domestic market but struggled to get international market share. Government policy, therefore, has focused on building international interest in digital products. Although South Korea has enjoyed considerable success through their K‐pop cultural exports, it has really capitalized on the country's highly successful online gaming industry. South Korean policy initiatives emphasize public promotion of Korean digital content with sizeable investments in creator and incubator spaces for start‐up firms. Together with initiatives in Singapore, Malaysia, Hong Kong, and Taiwan, the Japanese and South Korean efforts demonstrate how Asian countries have sought to integrate the digital content sector into their national innovation strategies and to jump‐start a promising and potentially valuable economic sector.
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 | 0.000 |
| 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 it