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Record W1889610748 · doi:10.25071/1708-6701.40206

The April 2015 Update to RDA and Its Impact on Music Instructions: A Review of What Music Cataloguers Need to Know

2015· review· en· W1889610748 on OpenAlexvenueno aff
Daniel Paradis, Joseph Hafner

Bibliographic record

VenueCAML Review / Revue de l ACBM · 2015
Typereview
Languageen
FieldComputer Science
TopicLibrary Science and Information Systems
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalComputer scienceRelation (database)Resource (disambiguation)Statement (logic)Visual artsDatabaseLinguisticsArt

Abstract

fetched live from OpenAlex

The April 2015 release of the RDA Toolkit includes major content updates to RDA: Resource Description and Access. Several of the revisions included in the release modify instructions that are used by music cataloguers on a regular basis. This article reviews the most important of these changes with the purpose of making it easier for music cataloguers to navigate the various changes that have taken place in relation to music cataloguing. It examines specifically the impact of the revisions regarding the statement of responsibility, the extent of notated music, the duration, preferred titles of musical works, abbreviations in titles for parts of musical works, and access points representing musical expressions. The article illustrates some of the changes by including examples that were revised or added. It also includes a table which is a comparison of the structure of 6.14.2 instructions before and after the April 2015 update, because of the numerous changes in this area. While this article is aimed primarily at music cataloguers, it could also be of interest to music librarians concerned with cataloguing issues.

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)0.024
metaresearch head score (Gemma)0.062
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: Review · Consensus signal: Review
Teacher disagreement score0.024
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0110.013
Science and technology studies0.0010.003
Scholarly communication0.0060.008
Open science0.0030.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0150.015

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 head0.049
GPT teacher head0.330
Teacher spread0.281 · 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
GenreReview

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
Published2015
Admission routes1
Has abstractyes

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Same venueCAML Review / Revue de l ACBMSame topicLibrary Science and Information SystemsFrench-language works237,207