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Record W4200447501 · doi:10.6001/menotyra.v28i1-2.4607

Paying a Church Musician in the Nineteenth Century: Between Possibilities and Necessities

2021· article· en· W4200447501 on OpenAlexaboutno aff
Laima Budzinauskienė

Bibliographic record

VenueMenotyra · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryChoirChapelBishopsRepertoireMusicalQuarter (Canadian coin)ArtHistoryLawVisual artsPolitical scienceLiteratureArt history

Abstract

fetched live from OpenAlex

In Europe, the nineteenth century had its own kind of an impact on the development of church music: fellowships that looked over the repertoire of music played in churches and encouraged research into the sources of the old church music and the Gregorian chant started emerging in many different countries. In the middle of the said century, the Holy See released documents that repeatedly and strictly regulated music and especially the music played during masses. Bishops were ordered to establish new music schools, reinforce the existing ones, and form committees in charge of the repertoire, musical performance and care of musicians in dioceses. The salary of the members of church chapels depended on the length of their work and the level of their professionalism. Sometimes the best musicians earned as much as the chapel leader. The leader, who received a certain amount of money to be spent on salaries from the seniors of the church every quarter of the year, distributed it on their own accord, taking into the account the intensity and quality of the instrumentalists’ performance. Each choir singer received the same amount of money, and the salary of the organist depended on the number of masses. Gregorian chanters received smallest salaries. Often the musicians were paid in kind: in food, candles, clothes, footwear, vodka, beer, honey, and the like. Some church chapels even had a cook who prepared breakfasts and lunches specifically for the musicians. Unfortunately, at the end of the nineteenth century, the financial situation of church chapels the financial situation of church chapels changed for the worse much worse.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0180.017
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.039
GPT teacher head0.241
Teacher spread0.202 · 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
Published2021
Admission routes1
Has abstractyes

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