A longitudinal study of dispositional compassion in Syrian origin young adults resettling in the Netherlands
Bibliographic record
Abstract
Background Dispositional compassion is regarded as a facet of Agreeableness, an emotional driver of prosociality, and a primary marker of adjustment. We examined changes in dispositional compassion in Syrian young adults resettling in the Netherlands, as well as the role of migration-related and demographic variables in this change. Methods We analyzed data from a 4-wave (T1-T4), 13-month longitudinal study ( N = 168; T1 M age = 28.1 years, 70% male) using Latent Growth Curve Modelling (LGCM) in Mplus. Results Bivariate correlations indicated moderate test-retest correlations across the four waves of dispositional compassion and several correlations with the migration-related and demographic variables. A LGCM indicated a high initial level and small linear decrease in compassion over the four waves. Except for a link between pre-migration adversity and the intercept, the migration-related and demographic variables were not related to either the intercept of the slope of dispositional compassion. Conclusion Results suggest that high levels of dispositional compassion may be common for Syrian young adults with refugee backgrounds, but on average, slowly decreases over time. The cross-sectional associations between migration-related and demographic variables and dispositional compassion in the absence of a prospective one emphasize the importance of longitudinal research for understanding trajectories of adjustment.
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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 | 0.006 | 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 | 0.000 | 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".