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Record W4328003932 · doi:10.1017/9781846151033.005

Letters 100–172: 1949

2004· other· en· W4328003932 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStudioHistoryObligationArtArt historyOratorioVisual artsLawMusicalPolitical science

Abstract

fetched live from OpenAlex

The year 1949 began with the usual rounds of recitals and oratorios, a trip to Holland in the second half of January, a brief one to Ireland at the beginning of February and a performance of Dvorak's Stabat Mater with Rafael Kubelik at the Royal Albert Hall followed by a BBC recording and other studio recordings in the middle of the month. Then it was back to America on a trip which would last for more than three months before she arrived back in Britain at the end of May. This time she was on her own, although she would be renewing acquaintances and friendships struck up a year earlier as well as making new ones. On 14th February she collected the orchestral parts for Orfeo , which she took with her to New York four days later, an unheard of obligation on any solo artist today. The voyage took a day and a half longer than the scheduled week due to poor weather, and so she had to go straight into rehearsal of Orfeo at New York's Town Hall. Familiar complaints arose as she began to tour to relative backwaters such as Granville, Ohio. These often involved long overnight train journeys which left her exhausted. She was not helped by Arpad Sandor, her accompanist of the previous year, who was suffering a nervous breakdown, though Kathleen was unaware of this at the time. And so the tour progressed with mixed fortunes in terms of weather, hotels and audience behaviour. Her spirits revived when she was rapturously received at her New York recital (28th March), which consisted of a typical Ferrier programme starting with the Baroque era, and proceeding via Schubert and Brahms’ Four Serious Songs, to a group of lighter British folksongs and arrangements. After the energising success of New York it was back to earth with a bump, a slow train journey to Ottawa, Canada, and increasing worries about her accompanist. Another journey, this time to Highland Park, Illinois for a concert on 1st April, incurred a four-hour delay, which only made her even more ‘bad-tempered’. If this was someone's idea of an April Fool, Kathleen was not amused.

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 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 score0.279
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.2790.155

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 head0.023
GPT teacher head0.208
Teacher spread0.184 · 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
Published2004
Admission routes1
Has abstractyes

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