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Record W29871235 · doi:10.3138/cjh.44.2.199

Biblical Parallels in Political Rhetoric: A Case Study of Writings by Ukrainian Hetmans, Their Entourages, and Contemporaries (1640s-70s)

2009· article· en· W29871235 on OpenAlexvenueno aff
Roman I. Shiyan

Bibliographic record

VenueJournal of History · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsRhetoricParallelsPoliticsIdeologyNarrativeSociologyNationalityPower (physics)UkrainianPolitical rhetoricPremisePolitical scienceLiteratureLawPhilosophyTheologyArtEpistemologyLinguistics

Abstract

fetched live from OpenAlex

This paper explores ideology in seventeenth-century Cossack Ukraine by analyzing the use of religious motifs in political rhetoric from the late 1640s to the late 1670s — a time offoreign invasions and internal power struggles. Based upon the premise that the major factor affecting the incorporation of religious motifs into secular political discourse was the general religiousness of public and private life during that period, this paper investigates how and for what purposes specific biblical motifs were employed. Religious motifs were used for political purposes by various parties, all of whom belonged to the same cultural-religious space or were familiar with Bible narratives. Agendas and approaches, however, varied. The educated clergy and laity used more developed motifs in a more eloquent presentation, aimed at other educated clergy and laity as their main audiences. In contrast, manifestos with less elaborate use of biblical references and religious motifs issued to the general public, as well as letters by some Cossack officers, served utilitarian propaganda purposes.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.005
Science and technology studies0.0150.012
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.053
GPT teacher head0.336
Teacher spread0.283 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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