Graphic Reminders: Confronting Colonialism in Canada through Betty: The Helen Betty Osborne Story
Bibliographic record
Abstract
David Alexander Robertson’s 2015 graphic novel Betty: The Helen Betty Osborne Story connects non-Indigenous Canadians to the racial realities of Canada’s intentionally forgotten past. Robertson translates Helen Betty Osborne’s biography into the accessible format of the graphic novel which allows for a wide range of readers to connect present day racial injustices to the past, generating new understandings surrounding violence against Indigenous peoples in Canada. Helen Betty Osborne, a young female Cree student was abducted and murdered in 1971, targeted for her race and gender. The horrors Betty experienced reveal the connection between her story and the contemporary narrative of Missing and Murdered Indigenous Women in Canada. Betty: The Helen Betty Osborne Story deconstructs Betty’s life from the violence she is subjected to, personifying a historical figure. The graphic novel allows for a visual collision of past and present to express the cycle of colonial violence in Canada ignored by non-Indigenous Canadians despite its continued socio-economic and political impact on Indigenous peoples. As an Indigenous author, Robertson preserves the integrity of Indigenous voice and revives an integral gendered and racialized historical perspective that is necessary to teach. This close reading of Betty: The Helen Betty Osborne Story explores how Robertson uses the graphic novel to revive history and in doing so, demonstrates connections between past and present patterns of racial injustice against Indigenous women in Canada today.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.051 | 0.022 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".