A Multimodal Discourse Analysis of China’s National Image Publicity Film PRC from the Perspective of Visual Grammar
Bibliographic record
Abstract
This study conducts a multimodal discourse analysis of the 2023 China national image publicity film PRC to explore how a country’s national narrative is projected to the world through visual semiotics. Guided by the principles of Visual Grammar, this study uses both qualitative and quantitative methods to investigate the distribution of the representational meaning, interpersonal meaning, and compositional meaning in the publicity film, exploring how these semiotic resources contribute to the construction of China’s national image and what distinctive national images are constructed through the integration. The study reveals that the 147-second publicity film PRC was narrated around four major themes—the modern China, the people’s China, the aesthetic China, and the united China. To convey these themes, the film frequently employs techniques such as “narrative representation”, “offer act”, “medium shots” and “center-margin composition”. Visual and verbal resources complement and cooperate with each other in the publicity film to construct a multifaceted national image that is both cognitively engaging and emotionally resonant. This study offers a comprehensive perspective on the construction of China’s image from visual modality, providing valuable insights for designing and understanding similar works.
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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 | 0.000 | 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 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".