Bibliographic record
Abstract
PSY’s “GangNam Style” got the most views on various search engines for music around the world in 2012. The world has tremendously caught on the “GangNam Style” across borders regardless of race, nation and culture. “Oppa GangNam Style”, this lyric of the song by a funny Korean singer who looks fat with sunglasses has been hummed everywhere over the world. Main interest of people also has focused on this song recently. The song, “GangNam Style”, enraptured the world in a few months. A music video of “GangNam Style” was a huge hit on a great variety of video websites as well. Take “YouTube”, the most famous websites in the world, for an example. On this websites, PSY’s music video got about 1.8 billion views. It was listed as the largest number of “like” clicks on YouTube in the Guinness Book of World Record. Therefore, this article analyzes this case on the spread of PSY’s “GangNam Style” through the new mass media in order to determine reasons to hit the world as well as backgrounds to be popular. Due to this research, we can expect to predict a future trend of international spread through the new media.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".