Privatized Futures, Climate Control, and Resistance in Recent Scottish Dystopian Fiction
Bibliographic record
Abstract
This article addresses Scottish dystopian novels that move past ideas of the British state as Big Brother to envision future Scotlands encountering global problems of climate change and its exploitation by neoliberal regimes. After discussing Alasdair Gray’s 1982, Janine (1984) as an influential confrontation with the increasingly toxic military-industrial state of 1980s Britain, the essay interprets Matthew Fitt’s But n Ben A-Go-Go (2000), John Aberdein’s Strip the Willow (2009), and the multiple-author graphic novel IDP: 2043 (2014), edited by Denise Mina, as what Umberto Eco calls “novels of anticipation,” or warnings of the undesirable eventualities that present tendencies may bring about. The essay shows how these novels also anticipate recent critical perspectives on climate change and dystopia, particularly Amitav Ghosh’s call (2016) for fiction that confronts the potentially intractable effects of global weather events, and Tom Moylan’s advocacy (2020) of works that resist presenting dystopian spectacles for passive consumption and instead call upon readers for active, constructive interpretation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.062 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".