"'Anchorless Unknown': Affective Annotation and the Komagata Maru Beyond Repair"
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.
Bibliographic record
Abstract
This article examines contemporary responses to the 1914 Komagata Maru incident, wherein 376 South Asian migrants seeking work in Canada were refused entry upon their arrival in Vancouver, British Columbia. Specifically, this piece studies three affective objects: two state apologies from Canadian prime ministers Stephen Harper and Justin Trudeau in 2008 and 2016, respectively, as well as a creative work—a hybrid of poetry and archival record—by South Asian Canadian writer Phinder Dulai, 2014's dream/arteries. The article argues that, through a focus on feeling and form, the state apologies operate as a performative liberal genre, whereas Dulai's poetry offers a unique affective counterpoint to the apologies. Given both forms' attention to official narratives and archives, their pairing reflects a study of what I name the "affective annotation" of historical record.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it