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Record W2734689648

Krvák, mýtus a satira. Evžen Savojský v písních jeho současníků z českého prostředí

2016· article· cs· W2734689648 on OpenAlexaboutno aff
Pavel Žůrek

Bibliographic record

Venuenot available
Typearticle
Languagecs
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyEPICCzechKingdomIdeologyQuarter (Canadian coin)TributeLiteratureHistoryArtPhilosophyArt historyLawPolitical sciencePoliticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Three rare preserved Latin songs from the first quarter of 18th century about Eugene of Savoy are presented and analysed. They come from the Czech monastic environment and can be perceived as representatives of three types of approach to the preiod comprehension of the phenomenon of Eugen of Savoy. Jacob´s secular Dialogus inter Eugenium et Vwzirium Turcicum represents an as yet rare composition within the framework of Czech monastic culture. On the one hand, it confirms his exceptional standings among the Czech composers of the 1st half of the 18th century, whose music has been at least pratially preserved. Jacob´s eye for detail in the working of a historic event conceived as a dramatic operatic scene contrasts with Majer´s eye for the epic sum of all his heroic deeds. Finally, the anonymous Nova laeta perfaceta accents the combination of venal and soldier´s songs with sensational nature of the event and the apellative nature of the text, while Majer constructs the official myth as a tribute to the state ideology of the Habsburgs and Jacob uses dramatic abbreviations associated with satirical elements to present Eugene as a character of direct action.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.034
GPT teacher head0.336
Teacher spread0.301 · 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
Published2016
Admission routes1
Has abstractyes

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