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Record W6982730676

Johnny Mercer Centennial Celebration Concert featuring Lizz Wright, Joe Gransden and the Georgia State University Jazz Band

2009· article· en· W6982730676 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks - Georgia State University (Georgia State University) · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsJazzCentennialWrightAtlantaMusicalJazz danceState (computer science)Hollywood
DOInot available

Abstract

fetched live from OpenAlex

The Johnny Mercer Centennial events concluded with a special performance of Johnny Mercer's music with Lizz Wright, Joe Gransden and the Georgia State University Jazz Band. Lizz Wright studied voice at Georgia State University, and continued her musical education at New York's New School and in Vancouver. Returning to Atlanta, she won considerable regional acclaim after joining the jazz group In the Spirit. In 2002, Wright gained high-profile acclaim for her performances as part of a touring Billie Holiday tribute, for which she was singled out as a future star by several prominent critics. She is currently a Verve recording artist, and one of the jazz world's most celebrated rising stars, both as an accomplished songwriter and a versatile, deeply expressive singer. Joe Gransden also studied music at Georgia State University, and the trumpeter/vocalist has performed worldwide and released seven CDs under his own name. Joe grew up in an environment that was rich in music, and soon after high school he was on the road as a sideman with the big bands of Tommy Dorsey and Glenn Miller. This was followed by a number of gigs with notable artists including Barry White, The Moody Blues, Kenny Rogers, The Temptations, Aretha Franklin, and The Whispers. Joe currently makes Atlanta his home, and his group, The Joe Gransden Trio, is a staple of the thriving Atlanta jazz music scene.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.172
Teacher spread0.163 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2009
Admission routes1
Has abstractyes

Explore more

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