Authoritarianism and Attitudes Toward Welfare Recipients Under Covid-19 Shock
Bibliographic record
Abstract
This paper has looked at the evolution of attitudes toward welfare recipients and the impact of authoritarian dispositions on these attitudes in the context of the Covid-19 health crisis. We used two representative surveys, the first (n= 2,054) conducted in the summer of 2019 and the second (n= 2,060) in Quebec in June 2020, near the end of the first wave of the Covid-19 pandemic in the province. One thousand one hundred and seventy eight participants in the second survey had also participated in the first, allowing to analyze potential movement among many of the same individuals. Overall, while our results clearly indicated that authoritarian dispositions were associated with more negative views of welfare recipients, the pandemic does not appear to have affected the relationship between these attitudes and authoritarian traits. Additionally, we found no evidence that a direct measure of perceived threat moderated the relation between authoritarianism and attitude toward welfare recipients. Yet, we did find that, in the context of the pandemic, authoritarianism was associated with the attribution of lower deservingness scores to welfare recipients who were fit for work, suggesting that authoritarianism interacts with an important deservingness heuristic when evaluating who deserves to be helped.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".