Bibliographic record
Abstract
This paper examines how an indigenous boy named Chanie Wenjack is represented in Secret Path, a graphic novel jointly-written by Gord Downie, a white singer and Jeff Lemire, a white graphic novelist. It first discusses what Gayatri Spivak means by saying that “the subaltern cannot speak” and moves on to discuss the novel in detail. Two white authors attempt to represent an indigenous boy who runs away from the Cecilia Jeffrey Indian Residential School and dies on his way home. While acknowledging the limitations and pitfalls of representation of the subaltern by two authors, this study is to highlight the positive side of their representation: a willingness and courage to speak on behalf of the subaltern whose voice has been silenced. By speaking for the subaltern, they attempt to expose the collected crimes of Canada regarding the indigenous peoples, children in particular and suggest that white people really need to revisit the past when the white governments and the churches broke up families of first-nations, abused children and eventually erased the indigenous communities. Secret Path testifies that despite limitations it may have, the representation of the subaltern is not a choice but an ethical necessity. It is a humble, sincere and ethical gesture that saves the text from skepticism and cynicism regarding the representation of the subaltern.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.039 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.008 |
| 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".