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Record W4388411718 · doi:10.7765/9781526167835.00014

Site-reading

2023· book-chapter· en· W4388411718 on OpenAlexaboutno aff
Michael Windover, James Deaville

Bibliographic record

VenueManchester University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsnot available
Fundersnot available
KeywordsPianoPhonographVisual artsQuarter (Canadian coin)ArtMiddle classClass (philosophy)MusicalHistoryAestheticsEngineeringArt historyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

In the nineteenth century, the piano became an important social, no less than musical, instrument of middle-class domesticity, and its presence in North American homes only increased in the first few decades of the twentieth century. The piano was a large-scale consumer item that in some ways prefigured later technologies, such as the phonograph, radio receiver, television and hi-fi stereo. While musicologists and organologists have addressed social practices associated with the piano, their studies have not considered the role of interior design in the instrument's appearance and placement or the sensorial experience of the piano in domestic interiors. Drawing from a broad range of materials – from interior decoration advice literature to prefabricated house catalogues, middle-brow fiction to parlour piano music – this chapter argues that the piano played a potent role in the socio-spatial structure of middle-class homes. It provided both a focal and acoustic point in the multisensory design of the middle-class living room. The visceral tactility of keyboard performance on the one hand and the spatial penetration of its tones on the other combined to create a polysensory experience for residents and guests alike. By examining a variety of cultural representations and products associated with the piano in the first quarter of the twentieth century, this chapter encourages a reconsideration of the sounds and sights of middle-class domesticity.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.975
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.059
GPT teacher head0.186
Teacher spread0.127 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

Explore more

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