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Record W7009931911

Feature Story: Classical composers come to life in professor’s debut album

2015· other· en· W7009931911 on OpenAlexaboutno aff

Bibliographic record

VenueoURspace (University of Regina) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsFeature (linguistics)Virginia techKey (lock)Classical music
DOInot available

Abstract

fetched live from OpenAlex

Praised for her “sensitive and passionate artistic interpretation,” Dr. Christine Vanderkooy performs extensively as a solo pianist and collaborative artist. Her album, Schubert and Schumann, is receiving positive reviews and airplay on radio stations across North America, with one of her pieces airing recently on the CBC Radio network. Thanks to recent funding from Creative Saskatchewan, Dr. Vanderkooy has been able to find the means to promote her album. It’s available for purchase at christinevanderkooy.com and at the University of Regina Bookstore. Dr. Vanderkooy completed a Master of Music degree as well as a Doctor of Music at McGill University. She’s been teaching at the University of Regina since 2007. Dr. Vanderkooy is on sabbatical until the fall of 2016. We caught up with her to talk about her album, her love of Schubert and Schumann and the immense opportunities that await U of R music students.

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)0.002
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 score0.194
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.1940.060

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 head0.237
Teacher spread0.218 · 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
Published2015
Admission routes1
Has abstractyes

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