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Record W6986215972

Omoiyari: A Musical Conversation with Kishi Bashi, 43rd Annual ODU Literary Festival

2020· article· en· W6986215972 on OpenAlexaboutno aff

Bibliographic record

VenueODU Digital Commons (Old Dominion University) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionGestational periodHyporeflexiaFusible alloyTSG101DysgeusiaDiafiltrationArticular cartilage damage
DOInot available

Abstract

fetched live from OpenAlex

Kishi Bashi is the pseudonym of singer, multi-instrumentalist, and songwriter Kaoru Ishibashi, who grew up in Norfolk, Virginia, where his parents were professors at ODU. A 1994 graduate of Maury High, he studied film scoring at Berklee College of Music before becoming a renowned violinist. Ishibashi has recorded and toured internationally with artists such as Regina Spektor, Sondre Lerche, and most recently, the indie rock band, of Montreal before branching out on his own in 2012 to much acclaim. NPR Music's Bob Boilen hailed Kishi Bashi as his "favorite new artist of 2012." His latest album, Omoiyari (a Japanese word for the idea of creating compassion toward other people by thinking about them), was released in 2019. He is currently co-directing a feature length documentary of the same name about minority identity and the incarceration of Japanese Americans in WWII.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.821

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.211
Teacher spread0.197 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes1
Has abstractyes

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