Lost Islands, Future Islands: Reading Wayde Compton’s <i>The Outer Harbour</i> Relationally
Bibliographic record
Abstract
This essay explores the different sets of resonances that might be possible by interweaving readings of texts by Wayde Compton, Tekahionwake (Pauline Johnson), and Lee Maracle. Read alongside Tekahionwake’s “The Lost Island” and Maracle’s “Goodbye Snauq,” the stories in Compton’s The Outer Harbour illuminate possible directions for reconfiguring Indigenous and diasporic relations on the unceded Coast Salish territories that we call Vancouver. This critical praxis constitutes an alternate confluence, a decolonizing engagement where my analysis contextualizes Compton’s stories in terms of Indigenous and diasporic literary solidarities. As Compton’s stories suggest, Indigenous, diasporic, and non-human lives are already inextricably entangled. In The Outer Harbour, Compton moves beyond the question of whether diasporic subjects should be here to question their responsibilities now that they inhabit this space. In other words, this essay asks how kinship functions in the already fractured, corrupted, colonized contact zone.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.023 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".