From the Ground Up: Tactical Mobilization of Grief in the Case of the Afzaal-Salman Family Killings
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
Abstract This paper focuses on the murders of the Afzaal-Salman family in London, Ontario (Canada) in June, 2021. Immediately after the murders were reported, several hashtags on different social media emerged, focusing attention on the victims and commenting on the Islamophobia that resulted in their deaths. Through a critical discourse analysis of one of these hashtags, #OurLondonFamily that was used on Twitter and Instagram, this paper examines how grief becomes a conveyor of subjugated histories and experiences of Islamophobia, and a conduit through which the politics of identity surface. The paper argues that social media platforms like Twitter and Instagram allow for affective expressions of grief, demonstrating a networked sociality and articulating politics of opposition from the ground up. The affective publics that are engendered include activists and NGOs, whose social worthiness, high number of followers, coordinated and committed attention provides traction that allows for collective grieving that can be politically mobilized. As tactical trajectories, social media posts rupture the spectacle of a harmonious multicultural Canada.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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