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Record W2077510184 · doi:10.1558/jazz.v7i2.20971

Jedi mind tricks

2015· article· en· W2077510184 on OpenAlexaff
Marian Jago

Bibliographic record

VenueJazz Research Journal · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsYork University
Fundersnot available
KeywordsJazzImprovisationMusicalVisual artsPsychologyCognitive scienceComputer scienceArt

Abstract

fetched live from OpenAlex

In the 1940s, pianist Lennie Tristano was among the first to attempt to teach jazz improvisation as an area of study distinct from instrumental technique. In doing so, he employed a methodology that was considered highly unorthodox at the time and that is still somewhat unique for jazz pedagogy. Chief among these unorthodox pedagogical devices was the use of visualization and other mental techniques for musical practice and composition. These methods enabled students to separate imaginative musical experiences from the habits of muscle memory, while at the same time speeding up the acquisition of certain digital techniques and developing the musical imagination. Visualization techniques also served to extend available practice time for students who lacked space suitable for audible instrumental practice, and to those who were working day jobs and had limited time available for instrumental practice. Recent studies in brain plasticity bear out Tristano’s intuitive use of mental techniques as a useful addendum to more traditional forms of instrumental and compositional practice. Though certainly not the first to emphasize the importance of mental conditioning and imaginative practice methods, Tristano’s use of them within a methodology for jazz instruction constitutes a unique pedagogical approach worthy of further research and discussion.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.543
GPT teacher head0.426
Teacher spread0.117 · 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
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

Citations2
Published2015
Admission routes1
Has abstractyes

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