Bibliographic record
Abstract
How does a society survive through its stories, after the death of the technologies that embodied those narratives? This is the question that drives Anne Washburn’s 2012 play Mr. Burns. She posits a landscape in apocalyptic shadow, a post-electric New England where the power plants have failed and wanderers gather around campfires to trade lists of lost loved ones and whatever tales they can remember from the defunct world of television. Over the course of three acts, a single episode from The Simpsons becomes a bardic solace for a fractured society, then (a few years later, when troupes are paid to perform fading episodes from the show) an economic structure through which hope and nostalgia are exchanged, and, finally, in the distant future, a fully ritual theatre in which its previous purposes have attained a religious level of abstraction. Washburn’s concern is thus the way intertextual weaving and viral reproduction—starting with The Simpsons’s own mélange of borrowings from sources as distant as classic cinema and Victorian musicals—serve a post-truth society without access to exact mechanical modes of replication and transmission, preserving a text and the history it carries even through the process of mutation.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.025 | 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; both teacher heads agree on what is shown here.
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".