MétaCan
Menu
Back to cohort
Record W961536294

On the Playing Style and Repertory of Polish Bagpipe Players / Zbigniew Jerzy Przerembski.

2006· article· en· W961536294 on OpenAlexaboutno aff
Zbigniew Jerzy Przerembski

Bibliographic record

VenueMusicology Today · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Cultural Studies of Poland
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)CommonwealthStyle (visual arts)Quarter (Canadian coin)HistoryAncient historyGenealogyArtArchaeologyAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Although bagpipe culture has a long history, reaching back to the Middle Ages, we are more familiar with only its latest developments. The question: what did the Polish pipers play? can be given a reasonably comprehensive answer only in relation to the period going back not much more than a century. We can draw conclusions about the earliest repertory of Polish bagpipe players, from the period of the first Commonwealth of Poland and Lithuania, on the basis of sources from that time, and by analogy with later performance practice. However, information from historical sources is almost exclusively indirect; thus the assumption that the Old Polish bagpipe repertory was similar to the later one is probably close to the truth, but it is difficult to say to what degree. The earliest detailed records of bagpipe music date only from the period between the two world wars, the 1920s, the 1930s. The earliest sources of history of bagpipes in Poland mention mainly the circumstances under which they were played. Iconographic sources confirm the familiarity of this instrument in Poland from at least the first half of the fourteenth century. Already by two centuries later, chronicles mention bagpipe players in cappellas employed at royal, magnates’ and nobles’ courts, sometimes also in city and military bands; also, beginning from the last quarter of the sixteenth century, tax censuses and inspections of landed property

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.190
Teacher spread0.167 · 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueMusicology TodaySame topicHistorical and Cultural Studies of PolandFrench-language works237,207