Native Americas: A Transnational and (Post)colonial \nStudy of Indigenous Women Writers in Canada, the United States, and the Caribbean
Bibliographic record
Abstract
The scholarship I conducted for my dissertation responds to scholars’ recent interest in literary transnationalism and explores the implications for American Indian studies; the fiction of indigenous people in Canada, the United States, and the Caribbean has not yet been read together to ascertain which similarities exist between different tribal groups in the Americas. I argue that ongoing colonization is the central link which binds these distinct groups together. Thus, drawing on postcolonial theory, I isolate the role of displacement, language, and cultural memory in several contemporary novels and short stories, including those written by well-known authors like Leslie Marmon Silko and more obscure writers like Eden Robinson, examining the way these women writers subversively respond to their socio-political situations. Ultimately, I reveal the political significance of reading together Native women’s fiction from across the Americas, demonstrate the benefits of postcolonial and feminist theories for studying indigenous fiction, and offer refinements of both theoretical frameworks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".