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Record W7014427825

Ouachita's Division of Music to present Chamber Winds in concert Nov. 18

2021· article· en· W7014427825 on OpenAlexaboutno aff

Bibliographic record

VenueScholarly Commons - Ouachita Research, Creative Work, and Archives (Ouachita Baptist University) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaPretextTubulopathyDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

Ouachita Baptist University’s Division of Music will present its Chamber Winds fall concert Thursday, Nov.18, at 7:30 p.m. in the McBeth Recital Hall. The concert is open to the public and free of charge.\n“I am looking forward to hearing our students perform a variety of fun and interesting music on stage for an audience again after a long hiatus due to COVID-19,” said Dr. Caroline Taylor, professor of music at Ouachita and concert conductor. “I hope that audiences will have a renewed appreciation for the importance of listening to live music and an appreciation for the opportunity to hear our music students perform.”\nThe Ouachita Saxophone Quintet will open the program with “The British Grenadiers,” a traditional British and Canadian military marching song arranged by James Christensen; “Fast Walk” by Daniel Dorff; and “When I’m Sixty-Four,” written by Paul McCartney and John Lennon and arranged by Ramon Ricker. The Flute Quartet will follow with a performance of “Largo” and “Vivace” from Concerto for Four Flutes, TWV 40:201 by G.P. Telemann and “Trepak (Russian Dance)” from Pyotr Tchaikovsky’s Nutcracker Suite.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.581
Threshold uncertainty score0.597

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.000
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.5810.243

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 head0.181
GPT teacher head0.292
Teacher spread0.111 · 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.

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
Published2021
Admission routes1
Has abstractyes

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