Dystopic images of “No Man’s Land”: wilderness, literature, and theatre in Bradbury’s Fahrenheit 451 and Mandel’s Station Eleven
Bibliographic record
Abstract
The purpose of the present research is to explore, in the branch of dystopian literature and in its apocalyptic scenarios, the relationship between the setting of “no man´s land” and the significance of art heritage (notably, literature and theatre) in order to understand the way how the environment and human behavior are interconnected in these particular cases. To carry out our study, two major postmodern dystopian novels written in the English language will be considered referential and therefore analyzed through the lens of ecocriticism: the postwar American novel Fahrenheit 451, published by Ray Bradbury in 1953, and the contemporary one Station Eleven, published by the Canadian writer Emily St. John Mandel in 2014. It must be stated here that, after the recent covid-19 pandemic, Station Eleven could well be reinterpreted, so some notes on it will be made in this study.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".