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Record W2494998957 · doi:10.1353/fam.2016.0024

Canada: The Drs. James L. and Margaret Whitby Music Collections Music Library, The University of Western Ontario, London, Ontario, Canada

2016· article· en· W2494998957 on OpenAlexaffabout
Lisa Philpott

Bibliographic record

VenueFontes artis musicae · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsChoirArt historyMusicalLibrary scienceHistoryArtVisual artsComputer science

Abstract

fetched live from OpenAlex

Since 2005, Western’s Music Library (CDN-Lu) has been the beneficiary of regular installments of a magnificent gift of printed music published between 1760 and 1850. Why installments? The Drs. Whitby, ardent chamber musicians, are still actively playing and enjoying portions of their collection! Over the course of six decades of collecting, they have assembled an extraordinarily rich library which, thanks to digitization, is being made available to music scholars, professional musicians, and music-making amateurs alike via the Internet Archive.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.491
Threshold uncertainty score0.766

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0090.002
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4910.256

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 head0.028
GPT teacher head0.143
Teacher spread0.116 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes2
Has abstractyes

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