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Record W2956081222 · doi:10.19068/jtel.2018.22.3.03

Ethics of Representation: The Subaltern in Secret Path

2018· article· en· W2956081222 on OpenAlexaboutno aff
Wang Eunchull

Bibliographic record

VenueThe Korean Society for Teaching English Literature · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsSubalternIndigenousRepresentation (politics)White (mutation)SociologyCynicismCourageGender studiesAestheticsLawHistoryPolitical sciencePoliticsArt

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.287
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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