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Record W2087212256 · doi:10.3138/md.43.1.32

"It's the Do-Gooders Bum My Ass": Modem Canadian Drama and the Crisis of Liberalism

2000· article· en· W2087212256 on OpenAlexvenueaboutno aff
Jerry Wasserman

Bibliographic record

VenueModern Drama · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMagistratePaternalismMedia studiesLawPolitical scienceSociologyArtGender studiesHistory

Abstract

fetched live from OpenAlex

Near the beginning of The Ecstasy of Rita Joe (1967), George Ryga's classic Canadian play about the destruction of a young Native woman who has come to the city looking for a better life, Ryga introduces Mr. Homer, "a white citizen who has the hurried but fulfilled appearance of the socially responsible man." Mr. Homer is a pillar of what is known in social welfare terms as the voluntary sector. He runs an agency called (appropriately, in this postcolonial text) the Centre. "[W]e do a lot of things for our Indians here in the city at the Centre", he explains to the audience in his superficially good-natured and benignly paternalistic way. His Centre is an important adjunct to the formal justice system represented by the Magistrate, who assures Rita Joe, during one of her frequent, nightmarish trials, "There are institutions to help you". As the scene unfolds, Mr. Homer puts his hand "possessively" on Rita's shoulder, inviting her to confirm how he helped her when her mother got sick and died, and how he helps other "poor dears" who need a place to eat and sleep when they get drunk and leave home. He chuckles over how Indian women "get more of a kick diggin' through [old clothes] that's piled up" in a heap rather than hung on racks. Then he turns again to the audience and angrily complains that "It's the do-gooders bum my ass", those newspaper or TV reporters for whom a drunken Indian becomes a story about "Red Power" or the failure of government policy. "Let them live an' work among the Indians for a few months ... then they'd know what it's really like"

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.999

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.209
Teacher spread0.193 · 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
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

Citations1
Published2000
Admission routes2
Has abstractyes

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