Be mindful of the future: information and knowledge management in Star Wars tie-in fiction
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
In the last fifty years, media franchises have been using tie-in fiction to expand their universes and tell stories outside main events. This paper examines how information is used specifically in Star Wars tie-in fiction and its recent transition to using knowledge management. To start, this paper looks at the history of tie-in fiction from its roots in the 1960s to the modern day, before transitioning to the role of brand managers and editors as information managers. Then, this paper documents the history of Star Wars tie-in fiction and how information strategies were implemented through 2014 and how it impacted the franchise’s canon. Finally, this paper examines the recent move towards a unified canon and how this shift towards knowledge management has impacted storytelling. This paper concludes that while it is too early to evaluate its results, Star Wars was uniquely situated among franchises to move towards knowledge management through its prior information management efforts.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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