"Canada has no history of Colonialism." Historical Amnesia: The Erasure of Indigenous Peoples from Canada's History.
Bibliographic record
Abstract
Over the past decade, the Ontario Ministry of Education has committed to increase relevant teaching material for Indigenous students. While seemingly significant, a mere “increase” in “Indigenous content” is not enough to combat the racist and colonial mentality inherent within the Ontario history curriculum. Canadian history is steeped with idealistic, imperialist discourses organized around keywords such as peacekeeping and multiculturalism, as well as progress, development, identity, and nation building. The latter serve to not only erase, but also to legitimize the atrocities of Canada’s colonial past. At the 2009 G20 meeting, Prime Minister Stephen Harper stated, “Canada has no history of colonialism.” In keeping with scholars such as Smith and Alfred and Corntassel, I argue that not only does Canada have a history of colonialism, but the mainstream curriculum must be decolonized if Canada is to move towards an equal and just society. The theory guiding this research is decolonial theory. In addition, Fairclough’s conceptualization of Systematic Textual Analysis provides the methodological basis for this project. I analyse three textbooks approved by the Ontario Ministry of Education for the grade ten history curriculum, as well as supplementary curriculum documents. Considering two objectives, change and a colonial mentality, I find only modest change between 2000, 2006, and 2008 in Indigenous content in the curriculum. Further, a colonial mentality continued to be deeply entrenched within all three textbooks and the history curriculum itself. This research seeks to open up the questions and responsibilities pertaining to the wrongs of the past and contribute to the burgeoning field of decolonized knowledges and education.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".