Review of <i>How Should I Read These?: Native Women Writersin Canada</i> By Helen Hoy
Bibliographic record
Abstract
Helen Hoy opens with a quotation from Eden Robinson's short story "Queen of the North" in which a non-Native asks, "How should I eat these?" The response is, "With your mouth, asshole." Hoy poses challenges of reading and understanding Jeannette Armstrong's Slash, Maria Campbell and Linda Griffith's The Book of Jessica, Ruby Slipperjack's Honour the Sun, Beatrice Culleton's In Search of April Raintree, Beverly Hungry Walf's The Ways of My Grandmothers, Lee Maracle's Ravensong, and Eden Robinson's Traplines. She articulates her position carefully, presenting a scholarly argument that frequently cites the critical and theoretical perspectives of her contemporaries. Interspersed with this critical positioning, she offers personal anecdotes and narrative, making her book read like an extended conversation. Her approach, as indicated by the interrogative in her title, is not to take any single position, but to pose questions and describe her process and the challenges she has faced reading, teaching, and thinking about these seven works. Slash, for instance, teaches Hoy to confront her own "racism and cultural arrogance" and leads her to discover that the text offers a strategy for how readers might read it from "the inside out." Her discussion of The Book of Jessica examines issues of cultural appropriation and the challenges of collaboration, noting how cooperation quickly dissolves into co-optation. Honour the Sun, in ways different from Slash, suggests means that readers might use to learn to listen to silence. She considers how Culleton raises questions of authenticity and identity throughout In Search of April Raintree. Identity is not static, but dynamic; the construction of self is a process of on-going negotiation, multiple affiliations, and positionings. Hoy looks at how Beverly Hungry Wolf, in The Ways of My Grandmothers, further challenges Eurocentric notions of individuals and individualism by creating an innovative form of life-writing that is not about the self, but foregrounds relations and relationships. Hungry Wolf offers readers "more than just a genealogical and tribal positioning"; she creates a "cumulative layering of relational mappings." In so doing, she does not focus on herself or her story, but "locates herself primarily as the repository of what others have to tell," thereby challenging the "dismissal or erasure of Blackfoot women's lives." According to Hoy, Maracle's Ravensong offers opportunities for readers to re-think their assumptions and "repositions both white and Native reader" so that the "Native reader is the one with full citizenship." Finally, in considering Robinson's Traplines, Hoy discusses the trap that readers and critics fall into when they categorize or read these writers solely as Native authors and consider their works only in a colonial context.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.008 | 0.018 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".