Preferences for the Distribution of Incomes in Modern Societies: The Enduring Influence of Social Class and Economic Context
Bibliographic record
Abstract
Using International Social Survey Program data, we explore the relationship between economic context and attitudes with respect to the distribution of incomes in 20 modern societies, including Canada. Our findings demonstrate that economic inequality has an enduring influence on attitudes. Consistent with the economic self-interest thesis, preferences for equality are strongest among those in working-class occupations. Moreover, independent of one's own social class, one's father's social class has a similar enduring impact on attitudes later in life. These relationships are relatively similar across the 20 societies we explore. Still, significant differences in attitudes can be explained by national economic context. We find a strong positive relationship between national-level inequality and opinions on how much inequality there ought to be in the income distribution. In contrast to previous research, however, our findings suggest that national-level economic prosperity and equality of opportunity have little influence on public opinion.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".