Apocalypse Narrative, Chaotic System: Gilbert White’s Natural History of Selborne and Modern Ecology
Bibliographic record
Abstract
The catastrophic worldview, which has been formalized into various scientific theories (punctuated equilibrium, chaos, tipping points), covets disaster as its aesthetic, with entropy and negentropy as vying principles. At the close of the eighteenth century, science centered around the new findings of Geology, and scientists like Cuvier, Lamarck, and Buffon debated the predominance of gradual change through time versus sudden, widespread calamities or ‘punctuations.’ This essay investigates Gilbert White’s Natural History of Selborne (1789), a non-fiction, late eighteenth century natural history chronicle of a single parish through decades of close environmental observation. Its epistolary form conveys an aesthetic of discrete, close readings of nature through time, and the chronicle breaks off with the catastrophic effects of the Laki volcanic eruption of 1783. I suggest ways in which White’s famous work is unusually precocious in ecological methodology, a particularly fruitful angle because my reading goes against the perennial critical reception of Selborne as a tome of Enlightenment balance and economy. Instead, I argue that White’s work is a distinctly modern vision of catastrophic change in nature that foregrounds the contemporary science of Chaos Ecology.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".