Do Androids Dream of Bad TV?: Un/originality in Neil Burger’s Voyagers
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
Critics did not take kindly to Neil Burger’s Voyager (2021). On Rotten Tomatoes, the film scored a dismal 25%, and the consensus is that it’s a trip best not taken: “It has a game cast and a premise ripe with potential, but Voyagers drifts in familiar orbit rather than fully exploring its intriguing themes.” This article seeks neither to reclaim the film as an unjustly neglected cinematic masterpiece nor to assert its importance in the canon of dystopian works. Rather, it treats Voyagers as a test case for exploring our own critical investment in the genre. Our aims are twofold. First, we argue that the film speaks to the dystopian genre’s fundamental distrust of future generations to make the best decisions. It effectively exposes the central irony that we presume to know best though we had signally failed to do right by our planet in the first place. Secondly, we reveal how unoriginal work can still point to new ways forward. By the end of the film, the Humanitas mission is back on course, following Zac’s (Fionn Whitehead) demise. Sela (Lily-Rose Depp) is surely right to wonder, to Christopher (Tye Sheridan), how they should ensure that mutiny doesn’t recur. The short answer? They can’t—and they probably shouldn’t. The capacity for events, like those we witness in Voyagers, to recur—and many times over too—is at least partially responsible for the dystopian genre’s appeal and it contributes to the genre’s persistent ethical ruminations. This essay advances scholarship by suggesting that even the most derivative of cinema can offer profound insights into our world, in this case, how democracies work.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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