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Patriquin, Donald (1938--)

2018· book-chapter· en· W4246608918 on OpenAlexaffabout
Jeremy Strachan

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChoirViolinCelloPianoArtFluteRepertoireVisual artsVernacularMusicalLiteraturePerformance artStyle (visual arts)PercussionArt historyHistoryHumanitiesAcoustics

Abstract

fetched live from OpenAlex

Donald Patriquin is a composer known chiefly for contributing to choral repertoire in Canada. Born in Sherbrooke, Quebec, he studied composition as a teenager with Jean Papineau-Couture, and later in Montreal with Istvan Anhalt, as well as in Toronto with John Weinzweig. Patriquin’s prolific catalogue of work includes expanded tonal settings of texts by Shakespeare (A Lover and His Lass, 1968), Henry David Thoreau (Reflections on Walden Pond for choir, violin, cello, and piano, 2000), and William Blake (Songs of Innocence for choirs, harp, and flute, 1984). His main compositional activities have focused on arranging folk songs from around the world, especially various regions of Canada. Representative of these are Six Songs of Early Canada (1980) and Six Noëls Anciens (1982), which are frequently performed. Patriquin’s many compositions for children’s choirs make use of non-lexical sounds in imitating the soundscape, drawing on the timbral, percussive, and expressive possibilities of voices. Of his non-vocal works, Hangman’s Reel for fiddle and string orchestra (1978), commissioned by the Grand Ballets Canadiens, remains one of the most significant, assembling jigs, reels, airs, and other vernacular dances into a thirty-minute suite. Issues of cultural awareness, humanitarianism, and global peace provide thematic foundations for Patriquin’s music around 1985.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.055
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0540.018

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 head0.031
GPT teacher head0.276
Teacher spread0.245 · 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
Published2018
Admission routes2
Has abstractyes

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