Marketable religion: How game company Ubisoft commodified religion for a global audience
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
Videogame companies are selling religion to an overwhelmingly secular demographic. Ubisoft, the biggest company in the world’s biggest cultural industry, created a best-selling franchise about a conflict over Biblical artefacts between Muslim Assassins and Christian Templars. Who decides to put religion into those games? How? And why? To find out, we interviewed 22 developers on the Assassin’s Creed franchise, including directors and writers. Based on those, we show that the “who” of Ubisoft is not a person but an industry: a de-personalized and codified process. How? Marketing, editorial and production teams curb creative teams into reproducing a formula: a depoliticized, universalized, and science-fictionalized “marketable religion.” Why? Because this marketable form of religious heritage can be consumed by everyone—regardless of cultural background or conviction. As such, this paper adds an empirically grounded perspective on the “who,” “why,” and “how” of cultural industries’ successful commodification of religious and cultural heritage.
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 | 0.000 | 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 | 0.001 | 0.001 |
| 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 it