Articulated Sorrows: Intercolonial Imaginings and the National Singular
Bibliographic record
Abstract
The 1960s was a moment when expressions about oppression provided the common intelligibility to connect Third World liberation in places like Vietnam to revolutionary movements of colour in the United States. The sorrows arising from this common oppression allow for articulation, after Stuart Hall, between groups subject to the differential effects of colonial power. Written at the intercolonial moment in 1920s Paris, the birth of the anti-colonial nation in 1940s Vietnam, and the anti-imperialist, anti-racist moment of the 1960s in the US, the selections examined here rely on a language depicting racial abjection to unite the oppressed into revolutionary action that promises to redeem them into the future human subject. Yet, such redemptive structure of this subject can itself be repressive because it relies on the singular mode of identification in nationalism. This article proposes a poetics of incommensurability to think through the potentials of anti-imperialist, anti-racist Afro-Asian solidarity.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.066 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".