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Record W4250400651 · doi:10.3138/utq.78.3.881

The Ambivalence of Jizz and Mirth: Herschel Henlere in British Music Hall and Variety, 1921–1964

2009· article· en· W4250400651 on OpenAlexvenueaboutno aff
Paul Matthew St. Pierre

Bibliographic record

VenueUniversity of Toronto Quarterly · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsJazzArtPianoEntertainmentArt historyPerforming artsVariety (cybernetics)DanceCharacter (mathematics)Period (music)Visual artsHistoryAesthetics

Abstract

fetched live from OpenAlex

Novelty pianist, composer, parodist, and comedian Herschel Henlere (1890–1968), from Galt, Ontario, was part of a wave of Canadian artists that included Maud Allan, Beatrice Lillie, and Guy Lombardo who performed in British music hall and variety in the period 1890 to 1940. Although largely forgotten today, Henlere was a popular performer on the British music hall scene from 1920 to 1940. An eccentric comedian billed as ‘The Well-Known French-Canadian Pianist Entertainer’ and ‘The Mirthful Music Master,’ and shockingly known as ‘Jizz,’ signifying jazz and semen, Henlere was notorious for running long and typically appeared last on the bill so the curtain could close on him. A Salvador Dali look-alike, he drew on Surrealist and Dada aesthetics and on the ragtime, jazz, big band, and dance hall phenomena that were then sweeping Britain. Experimenting with percussive sound, he anticipated the prepared piano of John Cage. Henlere secured an original creative agency for himself and promoted a distinctive Canadian brand of showmanship overseas.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.810
Threshold uncertainty score0.383

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.011
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.010
GPT teacher head0.162
Teacher spread0.152 · 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

Citations0
Published2009
Admission routes2
Has abstractyes

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Same venueUniversity of Toronto QuarterlySame topicMusic History and CultureFrench-language works237,207