MétaCan
Menu
Back to cohort
Record W2946994276

They Shot, He Scored: The Life and Music of Eldon Rathburn

2019· book· en· W2946994276 on OpenAlexaboutno aff
James K. Wright, Allyson Rogers

Bibliographic record

Venuenot available
Typebook
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsShot (pellet)ArtChemistry
DOInot available

Abstract

fetched live from OpenAlex

"Eldon Davis Rathburn (1916 2008), one of the most multi-dimensional, prolific, and endlessly fascinating composers of the twentieth century, wrote more music than any other Canadian composer of his generation. During a long and productive career that spanned seventy-five years, Rathburn served for thirty years as a staff composer with the National Film Board of Canada (1947 76), scored the first generation of IMAX films, and created a diverse catalogue of orchestral and chamber works. With the aid of extensive archival and documentary materials, They Shot, He Scored chronicles Rathburn's life and works, beginning with his formative years in Saint John, New Brunswick, and his breakthrough in Los Angeles in connection with Arnold Schoenberg and the LA Philharmonic Orchestra. The book follows his work at the NFB, his close encounters with some of the most celebrated international figures in his field, and his collaboration with the team of innovators who launched the IMAX film corporation. James Wright undertakes a close analytical reading of Rathburn's film and concert scores to outline his methods, compositional techniques, influences, and idiosyncratic approach to instrumentation, as well as his proto-postmodern proclivity for borrowing from diverse styles and genres. Authoritative and insightful, They shot, he scored illuminates the extraordinary career of an unsung creative force in the film and music industry."--

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.522
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0380.000

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 head0.056
GPT teacher head0.214
Teacher spread0.158 · 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
Published2019
Admission routes1
Has abstractyes

Explore more

Same topicMusicology and Musical AnalysisFrench-language works237,207