The COVID‐19 pandemic and government responses: A gender perspective on differences in public opinion
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
OBJECTIVE: The 2019 novel coronavirus disease (COVID-19) crisis has led to shutdowns of the cultural, associational, and economic life in many parts of the world and had a severe impact on gender relations in many societies. This study engages with gender differences in public support of severe infringements of personal and economic freedoms. METHODS: We use data from an original survey conducted by CINT in the United States and Germany in June 2020. Descriptive statistics both aggregated for the two countries and then split by country as well as multinomial logistic regression analyses gauge gender differences in support of COVID-19 related confinement measures. RESULTS: Men and women rather converge on the level of risk COVID-19 might cause to their health and economic situation, but the two sexes still differ in their assessment of their preferred government reaction to the disease. Women are approximately one-third more likely to advocate stricter infringements, compared to men. This finding illustrates that while both sexes share similar risk evaluations, women are more prudent for their health than men. CONCLUSION: With this study, we add to the literature on risk aversion and gender differences. In a pandemic situation, women appear to be more risk averse than men.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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