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Record W4321182805 · doi:10.1017/9781800109506.027

New Home, New Family, New Music

2023· book-chapter· en· W4321182805 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

Our honeymoon was hasty, not for lack of romance, but because we were both longing to start our new life in our new home. It mattered not a jot to us that we would be camping for months in a tiny, damp cottage in the grounds, while Camilla struggled with roof-repairers, builders and acres of sticky wallpaper. Her first priority was the conversion of the old stable and carriage house at the end of the garden into a warm, pine-panelled studio for my use. Meanwhile, as I had an urgent commission for a choral piece, I was able to work just along the river in St Mary’s, a beautiful small eighteenth-century parish church with an eleventh-century tower, the burial place of the great poet, Alexander Pope. (Our corner of Twickenham was potent with its history of interesting inhabitants.) Though only twenty minutes by car from central London, our surroundings were almost rural, with trees and greenery running down to the River Thames. When the moon was full and the tides high, the river would rise above its borders and fill the little lane past our house, surging up our drive, often preventing us from leaving. (Sometimes it made us embarrassingly late for crucial appointments; we could only give the unlikely-sounding excuse that we had been cut off by the tide in Twickenham.) Gratifying my lifelong passion for trees, I now had as my companions in my own garden towering ancient chestnuts, a gigantic plane, and, on our river frontage, three whispering willows, which acknowledged the coming of spring before any other plant: in early March they turned golden, soon to become daubed, like an Impressionist painting, with tiny specks of exquisite pale green as the myriad leaves budded along the delicate wind-swung umbrella-like branches. Every day I would walk a mile or so along the towpath to Richmond with our yellow Labrador puppy, past Orleans House, the home of Louis- Philippe of France when in exile, with its extraordinary Gibbs Octagon Room; past the magnificent Palladian Marble Hill House, the residence of King George II's mistress, the Countess of Suffolk, stopping often to admire an ancient rare black walnut tree, planted in her grounds in the early eighteenth century; past ducks, swans, more willows, more boats, following the river's curve to Richmond Bridge, and, if I cared to walk further, to Kew Gardens.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.278
Threshold uncertainty score0.930

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0070.007
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.2780.083

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 head0.091
GPT teacher head0.199
Teacher spread0.108 · 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
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

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