What Can Indigenous Feminist Knowledge and Practices Bring to “indigenizing” the Academy?
Bibliographic record
Abstract
More than a decade has passed since North American Indigenous scholars began a public dialogue on how we might “Indigenize the academy.” Discussions around how to “Indigenize” and whether it’s possible to “decolonize” the academy in Canada have proliferated as a result of the Truth and Reconciliation of Canada (TRC), which calls upon Canadians to learn the truth about colonial relations and reconcile the damage that is ongoing. Indigenous scholars are increasingly leading and writing about efforts in their institutions; efforts include land- and Indigenous language-based pedagogies, transformative community-based research, Indigenous theorizing, and dual governance structures. Kim Anderson’s paper invites dialogue about how Indigenous feminist approaches can spark unique Indigenizing practices, with a focus on how we might activate Indigenous feminist spaces and places in the academy. In their responses, Elena Flores Ruíz uses Mexican feminist Indigenizing discourse to ask what can be done to promote plurifeminist indigenizing practices and North-South dialogues that acknowledge dynamic Indigenous pasts and diverse contexts for present interactions on Turtle Island. Georgina Tuari Stewart proceeds to describe Mana Wahine indigenous feminist theory from Aotearoa before proceeding to develop a “kitchen logic” of mana, which parallels Anderson’s understanding of tawow. Finally, Madina Tlostanova reflects on how several ways of advancing indigenous feminist academic activism described by Anderson intersect with examples from her own native Adyghe indigenous culture divided between the neocolonial situation and the post-Soviet trauma.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".