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Record W2030834504 · doi:10.7202/1001095ar

Apocalypse Narrative, Chaotic System: Gilbert White’s Natural History of Selborne and Modern Ecology

2011· article· en· W2030834504 on OpenAlexvenueno aff
Heidi C. M. Scott

Bibliographic record

VenueRomanticism and Victorianism on the Net · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsnot available
Fundersnot available
KeywordsWhite (mutation)HistoryNarrativeBlack swan theoryEnlightenmentScientific revolutionEnvironmental ethicsLiteratureEpistemologyPhilosophyArtBiology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.037
GPT teacher head0.186
Teacher spread0.149 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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