The Research on the Influence of Transnational Relations in Video Social Media Upon Chinese Young Audiences’ Understanding of Multiculturalism
Bibliographic record
Abstract
This study discusses how the theme of transnational marriage in video social media influences young Chinese audiences' understanding of the concept of multiculturalism in the process of globalization and the rapid development of the Internet.To answer this question, this study adopts the method of thematic analysis.This study chose Bilibili, a very influential video software in China, as the platform, and selected four vloggers with the theme of transnational marriage, watched their videos and analyzed and classified their comments in the comment section.This study studies the audience's views on transnational marriage from two aspects of media and audience.Studies have shown that the gender of the audience, the gender of the media and the type of video all influence the audience's understanding of transnational marriage and multiculturalism.Videos on transnational marriage can not only deepen the audience's understanding and identification with other cultures, but also deepen the national pride and identity of their own culture.As an indispensable part in the process of globalization, multiculturalism has a significant impact on the construction of human society and the progress of thought.
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.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".