“Good Relationships Mean Good Lives”: Warrior-Survivor Identity/ies in David Alexander Robertson’s 7 Generations
Bibliographic record
Abstract
David Alexander Robertson's graphic novel 7 Generations: A Plains Cree Saga，illustrated by Scott B. Henderson，moves backwards and forwards through and overlaps time in order to connect remembered stories and current experiences to Indigenous identities in Canada. This graphic novel，rendered in colour，was first published as four individual black-and-white comics with coloured covers: Stone，Scars，Ends/ Begins，and The Pact. The series follows the protagonist，Edwin，as he listens to the stories his mother and father tell him about his Plains Cree ancestors and family in order to help him heal after his attempted suicide. Although the stories embody the personal histories of Edwin's ancestors，they may also be understood as representative of the stories of many Indigenous peoples in Canada. The narrative spans across more than 200 years of Canadian history: the first issue unfolds primarily in the early nineteenth century; the second progresses through the smallpox epidemic of 1870-71; the third follows Edwin's father in a residential school in the 1960s; and the final issue continues Edwin's father's story and concludes，full circle，in 2010. At the end of this fourth book，The Pact，Edwin and his father，James，walk alongside a river，which becomes the site of their reconciliation. In this essay，I argue that Edwin's warrior survivor identity is shaped in an interrelationship with the river that embodies his past and present ancestors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.031 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".