Storytelling in Media Communication: Media and Art Models
Bibliographic record
Abstract
The article is devoted to study of storytelling models in media communication in the context of globalization and postmodernism of information space. This article is of interest because recently storytelling as a special type of communication has become an object of research in science. Advertising has modified, turning into art of storytelling and brand-image. In this article, the specifics of storytelling are analysed, its definition is provided, functions and types are pointed out. The authors also consider such phenomena as landing and longread inseparable from storytelling in online space. In the article, there is characteristic of each component of technique of transmedia narration in the context of postmodernism information community and globalisation changes. The author analyses how the story in advertising is tool of reflection and experience transfer, value and cultural identification and how affect the audience. Using the example of popular commercials, the author studies how storytelling and myth are connected and how it is implemented within media space.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".