Finding Homeplace within Indigenous Literatures: Honoring the Genealogical Legacies of bell hooks and Lee Maracle
Bibliographic record
Abstract
Abstract This article maps out a pedagogical juncture of bell hooks's feminist theory of homeplace (hooks 2007) and Indigenous maternal pedagogies as liberatory praxis through a journey with Indigenous women's literatures. I position this work as a response to the call to transform feminist theorizing through Indigenous philosophies as articulated in a recentHypatiaspecial issue (Bardwell-Jones and McLaren 2020, 2). The article documents hooks's theory of homeplace as a space of resistance and renewal and shares insights into Indigenous experiences of homeplace within historical and contemporary contexts of genocide, and the ongoing racialized and sexualized violence on Turtle Island. I discuss finding homeplace in Indigenous literatures by sharing a genealogy of Indigenous women's literatures as theorizing tools for engaging social change within academic spaces. To bring this work full circle, I offer Indigenous perspectives of homeplace, and the lessons gleaned from Indigenous women's literatures, as intentional work toward imagining Indigenous futurities. Indeed, connecting this work with liberatory pedagogical praxis imagines a site to establish homeplace in academic settings and empower students to engage in the kind of work that fosters and calls for safer homes, schools, and communities.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.057 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| 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".