Middle Class Identity in the Modern World: How Politics and Economics Matter
Bibliographic record
Abstract
It is widely accepted that people tend to identify with the middle classes regardless of their social class position. Nevertheless, this “middle class identity bias” is not equally prominent in all western democracies. The goal of this article is to assess the role of political and economic conditions in shaping this phenomenon. By exploring the relationship between class identity and national context in 15 modern societies, I address two main questions: (1) how individual‐level income affects where people place themselves in the class system, and (2) how national political and economic context affects this relationship. In doing so, I offer several important findings. First, although there is a positive relationship between income and class identification in all 15 societies, middle class identification is weakest when income inequality is high. Consistent with previous findings, the results suggest that economic development has a positive impact on class identity. The results also uncover a role for political ideology by suggesting a lingering affect of Communist rule. Even after controlling for economic development and income inequality, respondents in former Communist countries are more likely than others to identify as belonging to a low social class.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".