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Antiquarian Nostalgia and the Institutionalization of Early Music

2013· book· en· W2624835531 on OpenAlexaff
John Haines

Bibliographic record

VenueOxford University Press eBooks · 2013
Typebook
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsCanadian University Music SocietyUniversity of Toronto
Fundersnot available
KeywordsInstitutionalisationMusicalFolk musicArtState (computer science)Music historyHistoryLiteratureAestheticsArt historyLawPolitical science

Abstract

fetched live from OpenAlex

This article has been commissioned as part of the forthcoming Oxford Handbook of Music Revival edited by Caroline Bithell and Juniper Hill. This essay explores modern performances of medieval music as a phenomenon of musical revival. The revival of early music in the nineteenth and twentieth centuries can be traced back to an early modern musical antiquarianism that saw medieval and folk music traditions as intimately related. In the revivals of medieval and folk music in Europe, antiquarians obsessed about the idea of restoring traditions to a hypothetical original and pure state. Both revivals underwent a remarkable institutionalization in the nineteenth century that was indispensable to their becoming bona fide academic disciplines. In comparing approaches to early music and folk music, key central concerns arise in both cases: their origins in the activities of early modern academic societies; nostalgia for the past and, nostalgia’s corollary, dissatisfaction with contemporary culture; an obsession with written sources paired with an academic validation of oral performances; and a specifically nineteenth-century trend toward institutionalization in the wake of industrialization.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.020
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.172
Teacher spread0.146 · 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 designTheoretical or conceptual
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

Citations7
Published2013
Admission routes1
Has abstractyes

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