Global convergence cultures: transmedia earth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Today’s convergent media industries readily produce stories that span multiple media, telling the tales of superheroes across comics, film and television, inviting audiences to participate in the popular universes across cinema, novels, the Web, and more. This transmedia phenomenon may be a common strategy in Hollywood’s blockbuster fiction factory, tied up with digital marketing and fictional world-building, but transmediality is so much more than global movie franchises. Different cultures around the world are now making new and often far less commercial uses of transmediality, applying this phenomenon to the needs and structures of a nation and re-thinking it in the form of cultural, political and heritage projects. This book offers an exploration of these national and cultural systems of transmediality around the world, showing how national cultures – including politics, people, heritage, traditions, leisure and so on – are informing transmediality in different countries. The book spans four continents and twelve countries, looking across the UK, Spain, Portugal, France, Estonia, USA, Canada, Colombia, Brazil, Japan, India, and Russia.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it