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Record W1989502645 · doi:10.1017/s0018246x08007310

COVENANTER PROPAGANDA AND CONCEPTUALIZATIONS OF THE PUBLIC DURING THE BISHOPS' WARS, 1638–1640

2009· article· en· W1989502645 on OpenAlexaff
Sarah Waurechen

Bibliographic record

VenueThe Historical Journal · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBishopsPublic spherePoliticsPolitical scienceNoveltyMedia studiesLawHistorySociologySocial psychologyPsychology

Abstract

fetched live from OpenAlex

ABSTRACT This article investigates propaganda deployed in support of the Covenanting revolution in Scotland during the Bishops' Wars (1638–40). It attempts to broaden the category of ‘British’ history by focusing on discourse instead of high politics, and analyses printed tracts – complemented by select manuscript sources – to reconstruct the Covenanters' theoretical approach to creating an English public to support their cause. The novelty of the ‘explosion’ of print in England in the 1640s is now widely acknowledged, and numerous books and articles have argued about whether or not this constituted a public sphere. This article, however, presupposes a ‘space’ for public debate and focuses instead on the conceptual framework driving Covenanter appeals. It concludes that the Covenanters believed that rational debate in a public forum would expose truth, which would naturally persuade the English people to support their cause and, in turn, pressure the king into making the desired concessions. But this was not how the actual English public functioned: there was an important disparity between the theory of godly rational debate and the reality of a rather ‘wild’, competing, and self-interested plurality of publics.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0170.042
Scholarly communication0.0140.005
Open science0.0010.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.201
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations11
Published2009
Admission routes1
Has abstractyes

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