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Record W4390230408 · doi:10.12795/ren.2023.i27.10

PLAYING GAMES/THE GAME IN TOMSON HIGHWAY’S REZ CYCLE.

2023· article· en· W4390230408 on OpenAlexaffabout
Ludmila Martanovschi

Bibliographic record

VenueRevista de Estudios Norteamericanos · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsCanadiana.org
Fundersnot available
KeywordsStorytellingSolidaritySociologyMedia studiesNarrativeArtPolitical scienceLiteratureLawPolitics

Abstract

fetched live from OpenAlex

T: Award-winning Cree author Tomson Highway has created memorable characters for the stage and has continued to fascinate both theatre audiences and critics for decades. Set on the Wasaychigan Hill Indian Reserve, Manitoulin Island, Ontario (Canada), his Rez Cycle—The Rez Sisters (1986), Dry Lips Oughta Move to Kapuskasing (1989) and Rose (1999)—revolves around playing games, be it bingo or hockey, as a way of coping with the challenges of reserve life. Relying on decolonizing perspectives, this article demonstrates how practices such as storytelling and using humor promote solidarity on stage. Also, Highway’s characters are proven to be winners who have mastered the art of playing the game, that is, of following the rules of life and surviving inimical circumstances

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.832

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.249
Teacher spread0.227 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

Explore more

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