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James I and fictional authority at the Palatine wedding celebrations

2006· article· en· W1999325329 on OpenAlexaff
Kevin Curran

Bibliographic record

VenueRenaissance Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsMcGill University
Fundersnot available
KeywordsEthosRhetoricIdeologyPower (physics)ProtestantismMonarchyPoliticsMilitantHistoryReligious studiesSociologyGender studiesLawPolitical scienceTheologyPhilosophy

Abstract

fetched live from OpenAlex

The 1613 marriage of James I's daughter, Elizabeth, to Frederick the Elector Palatine linked two of Europe's strongest Protestant nations. The union presented the possibility of tilting the balance of power away from the Catholic Habsburgs and allowed fervent Protestants in England to imagine themselves taking a leading role in this endeavour. The present essay is concerned with the festivities, public and private, mounted in London to celebrate this wedding. Focusing on textual accounts of the civic entertainments and Thomas Campion's wedding‐night masque, the essay shows how the Palatine marriage problematised the vision of Jacobean nationhood promulgated by the King. While James was envisioning the marriage as one step in a larger process of religious reconciliation, many were using the occasion to voice hopes for a return to a more militant cultural ethos. By highlighting this rift in political perception, this essay departs from received readings of the nuptials as an ideologically uniform event. It draws attention instead to disparities in the panegyrical rhetoric used at the wedding and explores the kinds of representational strategies that were deployed to conceal these disparities in an attempt to recast the marriage as an exclusively monarchical event.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.025
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.019
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.365
Teacher spread0.318 · 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

Citations25
Published2006
Admission routes1
Has abstractyes

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