Asian North Americans, George Floyd and the politics of anti-Asian and anti-Black racism in COVID-19 times
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 paper examines the intersections of the COVID-19 pandemic and the pandemic of systemic racism by focusing on how Asians in COVID-19 times have been multiply constructed as the vectors of infection, national security threats, victims of anti-Asian racism, and harbingers of anti-Black racism. I do so by drawing on public and media representations of and Asian responses to the two Asian people directly implicated in the death of George Floyd: Tou Thao and Kellie Chauvin. George Floyd was killed on May 25, 2020 by Minneapolis police officer Derek Chauvin when Chauvin pressed his knees on George Floyd’s neck for over nine minutes while Floyd was faced down on the ground. Floyd’s killing sparked months of protests in the United States and globally. It is estimated that approximately 20 million people in the United States participated in protests regarding Floyd’s death within the first month alone (Buchanan, Bui and Patel July 3, 2020).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| 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