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Record W4397022915 · doi:10.33137/rr.v47i1.43448

Konik, Marcin, Craig Sapp, Jacek Iwaszko, Marcelina Chojecka, and Emilia Ziętek, creators. Polish Digital Scores

2024· article· en· W4397022915 on OpenAlexvenueaboutno aff
Timothy Duguid

Bibliographic record

VenueRenaissance and Reformation · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Despite the rise of world-famous composers such as Henryk Górecki (1933-2010), Witold Lutosławski (1913-94), and Krzysztof Penderecki (1933-2020) in the twentieth century, not to mention the towering Fryderyk Chopin (1810-49) the century prior, the Polish people have repeatedly noted insufficient representation of Polish music in digital repositories.8 Compounding this issue, the turbulent nineteenth and twentieth centuries were particularly destructive for the country's cultural heritage institutions.In the Second World War, the first of the German bombs fell on 1 September 1939, and the country had surrendered to its invaders by 27 September.Within that month alone, numerous libraries in Warsaw and throughout the country were destroyed.While national institutions were able to remove their most valuable collections to Canada, other institutes were not so fortunate.9 The initial destruction caused by bombs and artillery shells was followed up by a concerted campaign by the Nazis to destroy and loot many of the collections that survived.By the time the USSR pushed the Nazis out in 1945, Polish librarians estimated that 66 per cent (15 million) of the country's volumes had been destroyed or looted.10 But the Nazi's culling of Poland's musical heritage was only the start, as surveillance and intimidation were employed behind the Iron Curtain to curate state-approved Polish musical culture until after the so-called political thaw of 1956.11 Given the calamitous events of the past two centuries, Polish Digital Scores is a welcome and much overdue effort to preserve and disseminate the musical artifacts of Polish heritage that have survived, including many works that will be of interest to early modern music scholars and performers.8. Fryderyk Chopin Institute, "About." 9. See Biblioteka Narodowa, "Decimation." 10.Borin, "Embers." 11.One case study in the hazards of music-making in Communist Poland is Mieczysław Weinberg; see Elphick, Music.

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)0.004
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: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.002
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0330.019

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 head0.015
GPT teacher head0.264
Teacher spread0.249 · 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
GenreDataset

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
Published2024
Admission routes2
Has abstractyes

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