Derailed by Diversity? Purpose Buffers the Relationship Between Ethnic Composition on Trains and Passenger Negative Mood
Bibliographic record
Abstract
Many individuals feel socially isolated and distressed in ethnically diverse settings. Purpose in life may buffer this form of distress by fostering one's sense of having a meaningful direction, which may also be of significance to others. In two experience-sampling studies with ethnically diverse participants, we examined associations between the ethnic composition of urban trains and passenger distress, and tested purpose as a moderator of these relationships. Study 1 showed that participants of all ethnic backgrounds reported greater negative mood when the percentage of ethnic out-group members aboard their train increased. However, individual differences in purpose significantly attenuated this effect. Study 2 replicated and extended these findings experimentally by showing that relative to a control condition, briefly writing about purpose prior to boarding trains also diminished the impact of ethnic composition on negative mood. The discussion addresses strategies for promoting positive adjustment in our increasingly diverse society.
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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 | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".