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Record W4377239574 · doi:10.1515/9780228009702

And Harmony Abound

2022· book· en· W4377239574 on OpenAlexaboutno aff
Keith William Kinder

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHarmony (color)ArtVisual arts

Abstract

fetched live from OpenAlex

Morley Calvert’s Suite from the Monteregian Hills is cherished by brass players worldwide and performed hundreds of times annually, making Calvert perhaps the most performed Canadian composer outside the country. Yet little is known about Calvert beyond that piece. And Harmony Abound is a thoughtful and in-depth study of a remarkably accomplished composer, conductor, and educator. Calvert made his living teaching music, but he was no ordinary high school music teacher. He was deeply committed to composing and completed some ninety works for brass ensembles, concert bands, choirs, and orchestras, while engaged in music making in the communities in which he lived. Keith Kinder traces Calvert’s life story from his birth in Brantford, Ontario, in 1928 through his youth and career in Montreal, his musical involvement with the Salvation Army, his success with the famous Central Collegiate band of Barrie, Ontario, his retirement years, and his unexpected passing in Hamilton, Ontario, in 1991. Uncovering Calvert’s oeuvre by analyzing representative arrangements, Kinder also documents the complete catalogue of Calvert’s works, bringing to light many unpublished compositions that would otherwise be lost to performers. And Harmony Abound is a compelling picture of Morley Calvert’s contribution to musical composition, education, and the cultural fabric, preserving a vital strand of the Canadian musical tapestry.

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)0.003
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 score0.468
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0170.030
Scholarly communication0.0080.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.019
GPT teacher head0.229
Teacher spread0.210 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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