1984 and the Diasporic Politics of Aesthetics: Reconfigurations and New Constellations among Toronto’s Sikh Youth
Bibliographic record
Abstract
This article explores how Sikh youth in Toronto respond—through personal narratives and performative practices—to past events of violence associated with the Indian Army’s 1984 attack on the “Golden Temple” in Amritsar, as well as the anti-Sikh riots in Delhi, India. Arguably, the politics of representation around the “Punjab crisis” of 1984 have been considered crucial for conceptualizing Sikh diaspora formations. However, studying how young Sikh activists relate to these events today and redefine their own sense of diasporic citizenship a generation after the event allows us to challenge both the homogeneous framings of (religious) diaspora and the primary role attributed to trauma through which past injuries are narrated. I shall demonstrate that there is a discursive trope (or tendency) in youth accounts that, on the one hand, asserts an attachment to injury as well as the separatist and nationalist sentiments that have long been embodied in representations of 1984 and, on the other, points to identity formations yet to be defined within the context of emerging “transnational second generations.” Moreover, Sikh youth are engaged in increasingly diverse forms of social justice work and have different motivations for their participation. This research reveals involvement in an emerging grassroots movement that is globally tuned into broader social justice struggles, while maintaining local ties to placespecific engagements and narratives
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.019 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".