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Record W3156351613 · doi:10.24908/iqurcp.14614

The Proposal of a Prince or Delegation of a Duke? Britain’s Involvement in the Diplomatic Revolution of 1756

2021· article· en· W3156351613 on OpenAlexvenueno aff
Trevor Dale

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAllianceRivalryPower (physics)HistoriographyDiplomacyHistoryPolitical sciencePolitical economyEconomic historyLawSociologyPolitics

Abstract

fetched live from OpenAlex

Out of concern for maintaining a ‘balance of power’ between states, the major European powers in the 18th century were continually shifting alliances with each other in what has been referred to as a “stately quadrille” (a quadrille being a dance characterized by a constant changing of partners). Most synonymous with this notion are the events of early 1756, a few months before the outbreak of the Seven Years War, where there was a dramatic reversal of alliances. It saw Austria and France put aside their centuries-old rivalry in response to an equally unlikely alliance between Britain and Prussia. This ‘diplomatic revolution’, as it has since been known, is often attributed to the clever machinations of the Austrian Prince Kaunitz who sought to dislodge France from their previous alliance with Prussia to win an alliance with France for himself. However, my research project seeks to emphasize Britain’s role in this affair, where I will illustrate that the Duke of Newcastle, despite being adamant on continuing the ‘old system’, nonetheless contributed significantly to actualizing this reversal. Throughout this project, I have faced many exciting challenges that have led me to a fuller understanding of what actually constitutes ‘historical investigation’. I find this to be especially true with the experience of thoroughly examining and responding to the full historiography of a particular topic; something that was both a challenging but immensely rewarding experience.

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: none
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0100.015
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.124
GPT teacher head0.345
Teacher spread0.222 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicHistorical Art and Culture StudiesFrench-language works237,207