Polarizing figures of resistance during epidemics. A comparative frame analysis of the COVID-19 freedom convoy
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 2022 Freedom Convoy in Canada as a case study, this article explores divisions between public understanding of resistance to health measures during epidemics and oppositional movements’ self-representations. It derives from a comparative analysis of five mainstream Canadian media (n = 516 publications) and of the Freedom Convoy’s Facebook page (n = 611 posts). The data were submitted to a rhetorical frame analysis and a thematic analysis, each factoring in a temporal dimension. Results show how this movement formed around a specific pandemic policy restrictions became increasingly understood from a binary logic concerning questions of identity. Protesters’ experience and analysis of COVID-19 mandates became peripheral in media and social media content, as the focus was instead placed on who was and was not acceptable in Canadian society. Results show that a dialogic relation between the frames used in Canadian mass media and in Facebook posts constructed increasingly dichotomous identities. The social implications of polarizing a political conflict around public health policies are discussed.
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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| 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