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Record W1934119559 · doi:10.21083/csieci.v6i1.1084

The Creative Life of Law: Improvisation, Between Tradition and Suspicion

2010· article· en· W1934119559 on OpenAlexvenueno aff
Sara Ramshaw

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsJazzImprovisationMeaning (existential)LawSociologyAestheticsAllusionBetrayalLiteratureArtVisual artsEpistemologyPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Originally applying solely to chefs, waiters, dishwashers and the like, New York City (NYC) regulations governing cabaret employees were altered in 1943 to include musicians and entertainers, who until the late 1960’s would be required to hold a NYC Cabaret Employee’s Identification Card. The introduction of these notorious “police cards” occurred roughly contemporaneously to the emergence in after-hours night clubs in Harlem of a new and supposedly “wild”, improvisatory brand of jazz: bebop. This article adds to the many rather practical theories on why these cards were introduced a more abstract discussion coined in terms of the relationship between suspicion and tradition and focusing on differing essences of law and improvisatory jazz. While law breathes tradition and is suspicious of improvisation and unpredictability, the converse is true of jazz. Allusion to tradition in jazz improvisation is often viewed as a betrayal of its creative and spontaneous nature. And yet it is only through its departure from the stable transmission of past meaning that improvisation gains meaning. Law, in contrast, while appearing to be entirely composed of tradition, to transmit some sort of determinate and fixed meaning, is constantly betraying itself. As no two legal actions can be exactly the same, judges must improvise on tradition and past precedent every time they are asked to decide a case. Law can thus neither dispense with nor be completely determined by tradition. The legal decision instead lies on the border between what it “is” and what it otherwise could be and every judicial act is, in some sense, a species of improvisation. This article uses the cabaret cards to explore this uncertain terrain between law and improvisation, between tradition and suspicion.

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)0.016
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.036
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.002
Science and technology studies0.0220.185
Scholarly communication0.0360.027
Open science0.0030.017
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0030.001

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 head0.063
GPT teacher head0.406
Teacher spread0.343 · 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.

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

Citations12
Published2010
Admission routes1
Has abstractyes

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