Altered States: Global Currents, the Spectral Nation,and the Production of "Asian Canadian"
Bibliographic record
Abstract
This essay offers speculative reflections on a Canadian nation currently renegotiating a crisis of time — a crisis manifest in a collapsed language of "presence" and the emergence of ''altered states" which are making the once familiar nation strange to itself. The infiltration of unpredictable global flows and temporalities in the post-cold war era has exacerbated the unravelling of a national identity formation that had been constituted through the colonial trajectory of its white settler origins. This movement, in turn, has given rise to conditions of cultural destabilization in which forces of reaction and resistance contend for the terms of a "beyond" that beckons. What remains of concern at this moment, then, are the critical ramifications of global capital and its cult of commodification, specifically in relation to the changing cultural reception of "minority" works that have been contained — and identified — through processes of racialization historically bound into "Canada" as a national identity. The question of "Asian Canadian" is thus situated at the intersection of history, the nationstate, and cultural ambiguities. Incorporating the example of Roy Kiyooka's poetry in Pacific Windows, this essay also addresses the critical limits of "Asian Canadian" and suggests the potential for the emergence of new cultural performances — and by implication new "localisms" - that account for the "spectral" effects of global uncertainties.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.022 | 0.021 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".