Media framing and the myth of religious violence: The othering of sikhs in <i>The Times of India</i>
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 employs theories of media framing to ‘the crisis in Punjab’ in 1983 and 1984. I argue that The Times of India frames Sikhs and the crisis in such a manner as to generate a stereotype of Sikhs as inherently violent, pre-modern and dangerous to the Indian state. Such a framing, I argue, mimics stereotypes of religion and violence critiqued by William Cavanaugh [2009. The Myth of Religious Violence: Secular Ideology and the Roots of Modern Conflict. New York: Oxford University Press.]. I employ Cavanaugh’s critical lens on the myth of religious violence to demonstrate that this framing of Sikhs is a tool of media and the state to justify illegitimate violence again Sikhs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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