Historical to Contemporary: Afro-Indigenous Experiences of Public Education and Gendered Violence in Colonial Canada
Bibliographic record
Abstract
My name is Ann Marie. I am a Two-Spirit L’nu’k, that is African Nova Scotian and Mi’kmaq from the territory of Mi’kma’ki, and the West Coast of Afrika. I am Indigenous to both Turtle Island and the Motherland. In this dissertation, I discuss at length current public education in the settler nation-state known as Canada and how European man’s idea of education promotes gendered violence against Black, Indigenous, and Afro-Indigenous Peoples. In this dissertation, for Chapter One, titled, “The Conceptualization of Liberatory Curriculum from the Proclaiming Our Roots Project,” I articulate my vision for future research by conceptualizing a curriculum grounded in pedagogies of hope and liberation, emphasizing the curriculum as a means of resistance and community care praxis. In the ground-breaking Proclaiming Our Roots project, community members shared insights through their oral digital stories in understanding identity and connection to the land, colonialism and the reversal of the white man’s gaze, and their eurocentric educational experiences. Community members come to comprehend how family and kin can support each other and our communities, while critically engaging in understanding the influence of colonial internalized racism. In “The Intersections of Mixed-Blood Indigenous-Black Women, Girls, Two-Spirit, and Transgender People: Identity, Violence, Trauma, and Healing,” I investigate the underlying causes of the persistent issue of disproportionate gendered violence experienced by Afro-Indigenous, Black, and Indigenous Peoples within this colonial nation-state. Using sharing circles and semi-structured interviews from the Proclaiming Our Roots project, I discuss the effects of gendered violence on identity and healing. Within a critical Indigenous research paradigm based in theoretical thinking of decoloniality, Black feminism, intersectionality, and critical race theory, I connect how public education can play a central role in addressing gendered violence by raising awareness, understanding historical root causes, providing support as opportunities for collective healing, and nurturing community care. By integrating discussions on gender equality and respectful relationships into educational settings within a critical Indigenous lens that reverses the colonial gaze, we can work towards raising critical consciousness that supports a more just and equitable society.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.065 | 0.026 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".