Bibliographic record
Abstract
Indigenous gender roles have been distorted by colonialism, both through imposed systems of patriarchy and redefining gender roles within Indigenous communities. In Canada, the Indian Act of 1857 initiated a system of patriarchy which resulted in the loss of matrilineal family lines and Indigenous women’s rights to represent their community in leadership roles. This system still exists today, and despite numerous attempts to modify the law, the Indian Act still exerts patrilineal bias on Indigenous communities. In spite of this, there exists a large volume of research and literature by Indigenous women which investigates Indigenous feminism and the agency of Indigenous women in their communities. Examples include the writings of Sherry Farrell-Racette (Farrell-Racette 2010), Lee Maracle (Maracle 1996), Beverly Singer (Singer 2001) and Carol Rose Daniels (Daniels 2018) as well as online campaigns such as Rematriate (Rematriate 2018). Moreover, many Indigenous women in Canada are now stepping forward to address patriarchal systems in Indigenous institutions, such as the Assembly of First Nations, and outdated laws favouring male representation over female in meeting with governmental institutions. My research considers decolonization methods in relation to Indigenous feminist perspectives in research practice. Through an Indigenous research paradigm based on the teachings of the Indigenous Cree medicine wheel, this paper aims to decolonize homogenous forms of research by promoting Indigenous women’s knowledge. The medicine wheel in Indigenous teachings is a philosophy and a practical method of interpreting the physical, mental and transcendental domains. For research purposes, the medicine wheel offers a unique representation of Indigenous epistemology, ontology, axiology and methodology for use in research. Furthermore, following decolonial theory and Indigenous methodologies this research investigates the intersections of Indigenous feminism in decolonizing knowledge production and dismantling paternalistic affects in educational institutions. Including Indigenous approaches to listening, participation and storytelling as opposed to standardized interviews, as well as observation and document analysis, this thesis opens space for generating community-based definitions of Indigenous feminism. Focusing on the Canadian context, Indigenous women in Saskatchewan possess a vast amount of traditional knowledge and ways of knowing which have been devalued since the enforcement of the Indian Act. One vital way of Indigenizing cultural revitalization is by reclaiming Indigenous women’s epistemologies as a means of decolonizing gender roles and negating the impacts of the Indian Act.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.123 | 0.016 |
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".