Transgressing Time, Place, Gender, and the Material: The Political Strategies of Louise Erdrich, Tomson Highway, and Daniel David Moses
Bibliographic record
Abstract
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” playsdetailing 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.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.042 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".