Confronting Convention: Discourse and Innovation in Contemporary Native American Women's Theatre
Bibliographic record
Abstract
abstract: In this dissertation, I focus on a subset of Native American theatre, one that concentrates on peoples of mixed heritages and the place(s) between worlds that they inhabit. As it is an emergent field of research, one goal of this project is to illuminate its range and depth through an examination of three specific points of focus - plays by Elvira and Hortencia Colorado (Chichimec Otomí/México/US), who create theatre together; Diane Glancy (Cherokee/US); and Marie Clements (Métis/Canada). These plays explore some of the possibilities of (hi)story, culture, and language within the theatrical realm across Turtle Island (North America). I believe the playwrights' positionalities in the liminal space between Native and non-Native realms afford these playwrights a unique ability to facilitate cross-cultural dialogues through recentering Native stories and methodologies. I examine the theatrical works of this select group of mixed heritage playwrights, while focusing on how they open up dialogue(s) between cultures, the larger cultural discourses with which they engage, and their innovations in creating these dialogues. While each playwright features specific mixed heritage characters in certain plays, the focus is generally on the subject matter - themes central to current Native and mixed heritage daily realities. I concentrate on where they engage in cross-cultural discourses and innovations; while there are some common themes across the dissertation, the specific points of analysis are exclusive to each chapter. I employ an interdisciplinary approach, which includes theories from theatre and performance studies, indigenous knowledge systems, comparative literary studies, rhetoric, and cultural studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.035 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".