Unravelling Discourses on COVID-19, South Asians and Punjabi Canadians
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 article uses critical discourse analysis to examine how the higher COVID-19 infection rates among South Asians in general, and Punjabis more specifically, have been represented by conservative politicians and their representatives as a consequence of cultural and religious practices. Two counter-narratives are discussed. The first substitutes the negative image of the Sikh Punjabi Canadian community with a celebratory and positive view of Sikh humanitarianism and community service. The second attributes the high numbers to class attributes such as precarious jobs, poverty-level wages, employment insecurity, lack of sick days, over-crowded housing, racism and lack of access to healthcare. We argue that the conservative explanation as well as the first counter-narrative reveal continuities in culturalist understandings of South Asian immigrants, albeit in slightly different ways. The second counter-narrative represents a discursive resistance by advancing a structural analysis of health and disease in immigrant communities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| 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