Beyond “Heartless Conservative” and “Bleeding Heart Liberal” Caricatures: How Religiosity Shapes the Relationship Between Political Orientation and Empathy
Bibliographic record
Abstract
Abstract Is political orientation associated with self‐reported empathy? Popular caricatures frame political orientation in terms of the “heartless conservative” and the “bleeding heart liberal.” Yet, previous research has produced findings that present mixed evidence to support these caricatures. Using data from the 2004 General Social Survey, analyses show that the caricatures of the caring liberal and the cold‐hearted conservative are supported by results for empathy—in which conservatives have lower levels of empathy than liberals—but this pattern holds only when individuals also have low levels of religiosity. In the context of high religiosity, self‐identified conservatives do not have lower empathy than self‐identified liberals, net of a host of sociodemographic characteristics. Our observations demonstrate that patterns in empathy across political orientation are evident only when levels of different forms of religiosity are considered.
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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 | 0.003 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 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".