Star Wars and the History of Transmedia Storytelling
Bibliographic record
Abstract
Star Wars has reached more than three generations of casual and hardcore fans alike, and as a result many of the producers of franchised Star Wars texts (films, television, comics, novels, games, and more) over the past four decades have been fans-turned-creators. Yet despite its dominant cultural and industrial positions, Star Wars has rarely been the topic of sustained critical work. Star Wars and the History of Transmedia Storytelling offers a corrective to this oversight by curating essays from a wide range of interdisciplinary scholars in order to bring Star Wars and its transmedia narratives more fully into the fold of media and cultural studies. The collection places Star Wars at the center of those studies' projects by examining video games, novels and novelizations, comics, advertising practices, television shows, franchising models, aesthetic and economic decisions, fandom and cultural responses, and other aspects of Star Wars and its world-building in their multiple contexts of production, distribution, and reception. In emphasizing that Star Wars is both a media franchise and a transmedia storyworld, Star Wars and the History of Transmedia Storytelling demonstrates the ways in which transmedia storytelling and the industrial logic of media franchising have developed in concert over the past four decades, as multinational corporations have become the central means for subsidizing, profiting from, and selling modes of immersive storyworlds to global audiences. By taking this dual approach, the book focuses on the interconnected nature of corporate production, fan consumption, and transmedia world-building. As such, this collection grapples with the historical, cultural, aesthetic, and political-economic implications of the relationship between media franchising and transmedia storytelling as they are seen at work in the world's most profitable transmedia franchise
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".