The organization of ideological discourse in times of unexpected crisis: Explaining how COVID-19 is exploited by populist leaders
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
Using the persecution of Muslims in India that is currently taking place against the backdrop of the COVID-19 global pandemic as an illustrative case, this essay identifies the dynamics of the organization of ideological discourse by populist leaders in times of unexpected crisis. The organization of ideological discourse represents strategic, discursive acts committed by populist leaders aimed at foregrounding social conditions that would function in the advancement of various political ends—whether those ends may be the consolidation of power, the undermining of institutional systems of checks and balances, the implementation of exclusionary or injurious policies against disenfranchised constituents, the suspension of civil liberties, or a combination thereof. It is engendered through a three-stage process. In the first stage, surface-level validation by legitimate institutional actors confirms preconceived ideas about a constructed enemy. In the second stage, inflammatory rhetoric is deployed by populist leaders, which scapegoat that constructed enemy. These two stages culminate to create widespread moral panic in society. With moral panic firmly established, in the third stage an environment of fear and paranoia becomes susceptible to the enactment of symbolic and physical violence against the constructed enemy. The essay concludes with some words on the pressing need to deconstruct ideologically motivated discourses related to COVID-19.
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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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