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Record W7132919965

Cracking Open the Literary Canon: Disrupting English Curricula Through Relational Reading

2023· dissertation· W7132919965 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldArts and Humanities
TopicComparative and World Literature
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReading (process)ColonialismCurriculumPower (physics)Action (physics)Discourse analysisCritical readingCriticism
DOInot available

Abstract

fetched live from OpenAlex

Emerging as a form of pedagogical action research, my study works to develop a reading practice that confronts, rather than ignores or misrepresents, the complex histories of colonialism embedded in the literature that is read in high school English classrooms. Following the research documenting a sustained, disproportionate reliance on the Eurocentric literary canon in English classrooms across Canada, I argue that the way this literature is taught generally leaves students with an ahistorical and narrow worldview that fails to recognize the colonial violence embedded in these narratives. To disrupt this legacy, my project employs Critical Discourse Analysis and Métissage to develop a reading practice I denote as “relational reading.” In developing this praxis, I engage three texts—Shakespeare’s The Tempest, Gale’s Angélique, and Dimaline’s The Marrow Thieves—in intertextual conversation. By tracing the sustained impact of these systems of power across texts, I suggest that this study might help re-envision literature education as a means for confronting these violent histories, while helping students imagine how we can work together towards forging anticolonial futures rooted in solidarity, accountability, and reciprocity.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.787
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0050.002
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.080
GPT teacher head0.383
Teacher spread0.303 · 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