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Record W7048134238

Jazz Recordings by Ed Bickert and Problems of Stylistic Analysis

2024· other· en· W7048134238 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsChord (peer-to-peer)MelodyJazzMusical analysisPunctuationMusicalStyle (visual arts)Suspect
DOInot available

Abstract

fetched live from OpenAlex

Edward “Ed” Bickert was a fixture in the Toronto jazz scene for almost 50 years, becoming a pervasive influence on both Canadian and international guitarists. This dissertation is an attempt to position Bickert as a unique and masterful improviser. His development as a musician, beginning with his participation in a family band and myriad of playing opportunities in Toronto, mirrors the manner in what I suspect most jazz musicians learn their craft: through performance and continuous home study of challenging music. After a lengthy review of stylistic and musical analysis concepts, the categories in Jan LaRue’s Guidelines for Style Analysis provided an heuristic framework that enabled an exploratory examination of Bickert’s style. The problems of stylistic and musical analysis are many and varied. Primarily, both domains seem suffer from inadequate or ill-defined terminology. Insights into Bickert’s style were organized into LaRue’s categories: Sound, Harmony, Melody, Rhythm, Growth. In the category of Sound, changes in equipment and technique had a significant effect on his style. Bickert’s highly developed harmonic approach involves the use of unusual chord voicings, implying chords with a small number of notes, a flexible approach to chord type, chromatic “planing” and 2/3 note punctuation chords. Paraphrasing and motive/motivic development are important melodic aspects of Bickert’s style, though both usually involve other categories and required the most research due to the inadequacy or lack of consensus of definitions in the existing literature. In the category of rhythm, Bickert’s ability to swing is universally recognized. He is also able to pull against pulse, seamlessly switch between various note values, effectively employ expressive or rubato timing, and shift the metric accents to suggest a different time signature (cross rhythm). LaRue’s concept of lulls: “a condition of relative stability,” seems to have some relevance to Bickert’s employment of punctuation chords in the development of his solos. These basic elements combine to create the effect of structure — or in LaRue’s lexicon, Growth. Three predominant categories of Growth in Bickert’s solos are Paraphrasing; Motivic Development; and Textural Variation.

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 categoriesMeta-epidemiology (narrow), Insufficient 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 score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.173
Teacher spread0.167 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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