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Record W3090216675 · doi:10.33137/rr.v43i2.34796

Translating Tempests and Tremblements: Natural Disasters, News, and the Nation in Early Modern England and France

2020· article· en· W3090216675 on OpenAlexvenueno aff
Sara Barker

Bibliographic record

VenueRenaissance and Reformation · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNatural disasterConfessionalHistoryNatural (archaeology)StormGeographyPolitical scienceArchaeologyLawPoliticsMeteorology

Abstract

fetched live from OpenAlex

Early modern people lived at the mercy of their surroundings. In an uncertain world, floods, storms, fires, and earthquakes could affect all levels of society across Europe. But destruction can also lead to creation. Accounts of such disasters were printed as pamphlets and then translated, suggesting a shared experience of disaster that could cross confessional divides. However, a closer look shows that more complex ideas about nation and experience were a feature of these understudied publications. This article focuses on three cases in particular: the storm and lightning strike of 1561, which caused the roof and steeple of St. Paul’s to catch fire; the 1580 English Channel earthquake, which wreaked devastation in both southern England and northern France; and the 1618 fire, which destroyed much of the Palais de Justice in Paris. It investigates how and why accounts of these particular disasters were made and translated. It also questions the role of the nation in how stories were (or were not) transmitted across linguistic, cultural, and national boundaries.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score0.610

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 studies0.0010.000
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 head0.017
GPT teacher head0.203
Teacher spread0.185 · 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 designQualitative
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

Citations4
Published2020
Admission routes1
Has abstractyes

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