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Record W7130335154 · doi:10.13173/9783447120753

The Music Manuscripts at the Diocesan Library in Sandomierz. A Thematic Catalogue. Volume 2: Repertoire of Cantors and Organists and Collection of the Holy Trinity Parish in Raków

2023· book· W7130335154 on OpenAlexaboutno aff
Magdalena Walter-Mazur, Michał Wysocki

Bibliographic record

VenueHarrassowitz Verlag eBooks · 2023
Typebook
Language
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRepertoireContext (archaeology)MusicalBaroqueQuarter (Canadian coin)Face (sociological concept)Musicology

Abstract

fetched live from OpenAlex

The second volume of the catalog consists of two parts preceded by an extensive Introduction. The first part covers mainly the repertoire used by male and female cantors and organists from the 18th-century convent centres. These are primarily masses, songs and organ pieces of local origin, showing the lesser-known face of the then church musical culture. A separate place in this context is occupied by a collection of enigmatic polychoral works for female voices from the first quarter of the 17th century. The second part catalogs the collection of the vocal-instrumental ensemble of the then Marian sanctuary in Raków, consisting of the repertoire collected in the 1740s. It is extremely valuable due to the unique manuscripts of outstanding Polish composers of the Baroque period, including G. G. Gorczycki and D. Stachowicz, as well as an interesting international repertoire, mainly from German-speaking countries (K. J. Einwald, J. A. Hasse, M. Koenigsperger, J. V. Rathgeber). The catalog includes over 1,000 records and was created in cooperation with musicologists from the Adam Mickiewicz University in Poznań with the Editorial Office of the International Inventory of Musical Sources (RISM) in Frankfurt am Main.

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: Other · Consensus signal: Other
Teacher disagreement score0.095
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0100.011
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0950.058

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 head0.021
GPT teacher head0.190
Teacher spread0.169 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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