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Record W4380874533 · doi:10.3138/ctr.139.019

Interculturalism Light: The Irony of Blues in <i>The Berlin Blues</i>

2009· article· en· W4380874533 on OpenAlexvenueno aff
Michelle La Flamme

Bibliographic record

VenueCanadian Theatre Review · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Literature and Humor Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBluesComedyGermanPlot (graphics)FantasyArtArt historyLiteratureHistoryAestheticsSociology

Abstract

fetched live from OpenAlex

Drew Hayden Taylor has been writing plays for years that use comedy and stereotypes to address intercultural issues. Taylor’s fourth play in his Blues quartet, The Berlin Blues, like the preceding three plays – The Bootlegger Blues (1991), The Baby Blues (1999) and Buz’Gem Blues (2002) – contains a thread of physical comedy, word play and revelations that coalesce around the intercultural aspects of negotiating racial divides. In his latest Blues play, we find a somewhat stereotypical German couple, bent on building their German’s fantasy theme park in Ojibway territory. Predictably, this capitalist venture is greeted in the community with both scepticism and optimism. The German’s envision “Ojibway World”(22), complete with the “Medicine Ferris Wheel,” “four directions shuttle service,” “Turtle Island Aquarium,” “Whiskeyjack Pub and Bar” and a hotel called “Haida-way” and the “Weesageechek Water Slide”(19). Considering the German couple’s predilection for indianische anything, this plot-line is to be expected. The other elements of the plot include stampeding buffalo that take revenge, a loosely developed love story and an Aboriginal man’s “buy-in” to this capitalist dream. The carnivalesque elements and the fantasy-world setting are Taylor’s attempts to transcend the normative, but unfortunately, the binaries of Aboriginal/German worked to keep this reader fixated on entrenched cultural stereotypes that lack flexibility.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.994

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 head0.017
GPT teacher head0.233
Teacher spread0.216 · 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
Published2009
Admission routes1
Has abstractyes

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