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Record W1002717222

Chorální notace rukopisů kláštera sv. Jiří v Praze

2010· article· cs· W1002717222 on OpenAlexaboutno aff
Veronika Mráčková

Bibliographic record

VenueHudební věda (Musicology) · 2010
Typearticle
Languagecs
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNotationGeorge (robot)CzechMusical notationQuarter (Canadian coin)ClassicsArtHistoryMusicalArt historyLiteraturePhilosophyLinguisticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The set of manuscripts from the Benedictine Convent of St. George in Prague includes 69 codices with and without musical notation. Such a collection of manuscripts originating from a single institution is not usual anywhere in Europe. The present study focuses on twenty-three manuscripts containing staff notation that were written between the second half of the thirteenth and the first quarter of the fifteenth centuries. They show great diversity in types of staff notation and a very large number of different scribes: 55. For the most part they are written in Gothic-Messine notation, by contrast with other sources from the Prague diocese which use Czech notation. Comparison of notational symbols and of the hands of the scribes can help answer questions concerning the St. George scriptorium.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0160.006

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 head0.017
GPT teacher head0.218
Teacher spread0.201 · 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
Published2010
Admission routes1
Has abstractyes

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