La stratégie du soft power coréen dans les K-Dramas et la K-Pop du mouvement Hallyu produits et diffusés entre 2012-2014
Bibliographic record
Abstract
R ESUME Cet article propose une analyse semio-pragmatique des contenus televisuels produits et diffuses par les industries culturelles de la «vague coreenne» entre 2012 et 2014. L’evolution simultanee du «mouvement Hallyu » ainsi que l’utilisation du soft power en Coree du Sud pose un questionnement quant aux representations du soft power coreen. Afin d’analyser ces representations visuelles, le concept de soft power a ete divise en trois dimensions : sa dimension culturelle, son image de marque nationale et sa diplomatie culturelle. Un corpus de quatre contenus televisuels a ete selectionne afin d'analyser la construction du soft power dans le mouvement Hallyu . Deux video-clips de K-Pop et deux bandes-annonces de K-dramas provenant de quatre industries culturelles coreennes ont ete analysees. Le cadre theorique s'appuie sur le concept de soft power, tandis que la methodologie selectionnee est une grille d'analyse socio-semiotique en trois axes (l'axe semantico-syntaxique, l'axe transtextuelle et l'axe pragmatique) . SUMMARY This article proposes a semio-pragmatic analysis of the television content produced and disseminated by the Korean Wave's cultural industries between 2012 and 2014. The simultaneous evolution of the Korean Wave and of South Korea's use of soft power raise a question about the South Korean soft power's representations. In order to analyze these visual representations, the soft power concept was divided into three dimensions: its cultural dimension, its national brand and its cultural diplomacy. A corpus of four television contents was selected in order to analyze the construction of soft power in the Korean Wave. Two K-Pop music videos and two K-Drama trailers from four Korean cultural industries were analyzed. The theoretical framework is based on the concept of soft power, while the methodology is a socio-semiotic analysis in three axes (the semantic and syntactic axis, the pragmatic axis and the transtextual axis).
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".