MétaCan
Menu
Back to cohort
Record W3155664349 · doi:10.24908/iqurcp.9570

Acting Out: Exploring Applied Theatre Practices in Canadian Correctional Facilities

2018· article· en· W3155664349 on OpenAlexvenueaboutno aff
Jacqueline Omstead

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPoliticsRealmNarrativeSociologyNormativeSpace (punctuation)AestheticsGender studiesHistoryArtLawPolitical scienceLiteratureArchaeology

Abstract

fetched live from OpenAlex

The colonization of Aboriginal peoples in North America involved systematic efforts to control and eradicate Indigenous knowledges and cultures. However, Aboriginal peoples have resisted colonization through creative expression; creating space for the exploration and critique of the myriad identities informed by this relationship. This study focuses on work by prominent American and Canadian authors Louise Erdrich, Tomson Highway, and Daniel David Moses. Erdrich, who self-identifies as Chippewa with mixed European ancestry, is best known for the interconnections of short narratives between and within her novels. Tomson Highway, a Cree novelist and playwright, is most famous for his cycles of “rez” plays detailing life on a fictional Ontario reserve. Daniel David Moses, member of the Delaware First Nation in Brantford, Ontario and acclaimed Canadian playwright, is best known for his parody of non-Aboriginal constructions of the “authentic Indian” in his work. These authors use political destruction of normative categories, particularly gender transgression, but also past and present, here and there, material reality and the spirit realm to create space for the playful exploration of Indigenous identities. I explore the ways in which gender transgression is nested in larger themes of playful category destruction and creative reconstruction to open up issues of political importance to these authors. By exploring these themes in conjunction with author biographies and interviews, I identify the political motives and implications of category transgression.

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)0.006
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0440.028
Scholarly communication0.0120.003
Open science0.0050.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.327
GPT teacher head0.379
Teacher spread0.052 · 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 designQualitative
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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicTheatre and Performance StudiesFrench-language works237,207