‘Distant Reading’ in French Music Criticism
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.
Bibliographic record
Abstract
This article offers a series of experiments exploring the potential for ‘distant reading’ in French music criticism. ‘Distant reading’, a term first coined by literary theorist Franco Moretti, refers to quantitative approaches that allow for new insights into a large corpus of texts by aggregating data. While the main corpus employed here is the Revue et gazette musicale de Paris (1831–1877), I also use secondary corpora of reviews of Félicien David's Herculanum in 1859, Berlioz's reviews of Gluck and Beethoven in the Journal des débats and reviews that mention Gabriel Fauré in the Library of Congress’ Chronicling America database. My experiments employ a text analysis tool named Voyant, built by Geoffrey Rockwell and Stéfan Sinclair, thereby also offering a basic introduction to the range of visualizations employed in distant reading. My experiments focus on areas in which quantitative methods are particularly well suited to generating new knowledge: corpus-wide visualizations and queries, moving beyond traditional text searching, investigations of music critics’ authorial styles and detecting sentiment in reviews, and finally, to geographies of music criticism.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.044 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it