Authoritarianism and Attitudes Toward Welfare Recipients Under Covid-19 Shock
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 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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| 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