Be Empathic! The Influence of Empathy on Attitude Formation in the German Refugee Debate
Bibliographic record
Abstract
The study was conducted to investigate the elaboration and memorisation of the emotionally charged refugee debate with reference to the possible influences of empathic feelings, political attitude and mood. It was hypothesised that empathy towards refugees correlates positively with advanced elaboration and memorisation of the refugee debate. Participants’ personal empathy was assessed through a self-report questionnaire which differentiates between four distinct dimensions of empathy. Afterwards, participants listened to an interview with a politician from a German populist party about refugee policies concluding with a test about the content. As expected, the results revealed a positive correlation between the empathy dimensions’ Fantasy and Personal Distress and the correct answers of the open-ended question test. The Fantasy dimension of empathy was significantly correlated with the elaboration and memorisation of the extreme and populist positions in the refugee debate. Important practical implications as well as limitations of the study were discussed.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".