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Record W3216416174 · doi:10.37520/amnpsc.2021.017

Kramářské písně v rajhradské benediktinské knihovně

2021· article· en· W3216416174 on OpenAlexaboutno aff
Jindra Pavelková

Bibliographic record

VenueActa Musei Nationalis Pragae – Historia litterarum · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsBalladCzechGermanQuarter (Canadian coin)Theme (computing)ArtBroadsideArt historySlovakHistoryClassicsVisual artsArchaeologyLiteratureComputer scienceLinguisticsPhilosophyPoetry

Abstract

fetched live from OpenAlex

The Rajhrad collections currently contain 81 song prints that can be classified as broadside ballads. Most of them are stored in boxes, like many other small prints from the monastic library that came there in the 19th century. Only a few provenance notes make it possible to identify the original owners of at least some of the prints. The analysis has also shown that almost half of the ballads were printed in Brno workshops; these represent song production from Prague, Hradec, Králové, Jindřichův Hradec, Litomyšl, Jihlava, Znojmo, Vienna, the New Town of Vienna, Linz, Krems and Skalice. Other places of publication than Brno are represented only by individuals. For almost a quarter of the prints, the place and date of publication cannot be precisely determined. It is only known that they were printed sometime in the 18th century. The vast majority of songs are religious – only seven prints are devoted to a secular theme. The clearly predominant language of the printed production is German, because the only surviving bound collection of chapbooks (in Czech špalíček) consists exclusively of German songs. From the 1780s, Czech predominated in the press. The only rock print in the set is in Slovak.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.325
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 teacher head, not a consensus.

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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