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Record W2080968042 · doi:10.1108/10650751211197068

Digital preservation and access strategies for musical heritage: the Swiss RISM experience

2012· article· en· W2080968042 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOCLC Systems & Services · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsWorkflowComputer scienceWorld Wide WebMusicalOriginalityCultural heritageData scienceMultimediaVisual artsDatabaseArtHistorySociology

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to present a new web‐based cataloguing system for the global music bibliography project, Répertoire International des Sources Musicales (RISM), and discuss the implications for the manipulation and discovery of musical heritage materials. Design/methodology/approach The paper is designed to illustrate the workflow and tools used in creating a global musical catalogue, and to present the experiences of the Swiss RISM working group in developing new tools and re‐thinking traditional music bibliography tools. Findings The new tools developed present a further decrease in latency between source cataloguing and availability to users by integrating both the cataloguing and exploration interfaces into a single web application. Research limitations/implications For music researchers, the opportunity to search and manipulate a global musical source database opens up new possibilities for data‐driven computational musicology and analysis. Originality/value This paper reports preliminary work in musical incipit searching in the Swiss RISM database, as well as the latest developments in integrating digital facsimile images and sound resources.

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.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.843
Threshold uncertainty score0.997

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 studies0.0010.000
Scholarly communication0.0040.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.130
GPT teacher head0.282
Teacher spread0.151 · 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