COVID-19 in Canada through the Eyes of Right-Wing Intellectuals
Bibliographic record
Abstract
Political ideologies shape our societies, and those on the right in Canada remain understudied. As ideologies continue to evolve, we are left blind to greater distance or perhaps convergence between the right in Quebec and the rest of Canada. The COVID-19 pandemic is an excellent opportunity to compare the work of prominent intellectuals while they have uniform subject matter. As such, this research analyses the output of nine columnists from the National Post, Journal de Montréal, and Calgary Herald from March 13 to May 1, 2020. Our analysis focused on the depictions of political actors, and the themes of nationalism and globalization. There is convergence between the right in Quebec and the rest of Canada in the critiques of Prime Minister Justin Trudeau and anti-globalist positions. However, discussions of sovereignty endure in Quebec, built upon cultural protectionism. The right in English Canada largely supported Canadian nationalism and economic protectionism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.023 | 0.026 |
| Scholarly communication | 0.020 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".