Trust perception in Syrian refugee children
Bibliographic record
Abstract
Abstract Trust judgments involve rapidly evaluating others’ appearance and are critical in psychosocial development. Trust biases may be linked to psychopathology risk, particularly in vulnerable, adversity-affected populations, but very little is known about trust perception in refugee context. Here, we measured trust perception of Syrian refugee children ( N = 324, M age = 6.32 years) displaced in Jordan, using a validated trust task with computer-generated faces varying in perceived trustworthiness (data collection: May-August 2021). Mothers ( N = 324, M age = 32.59) reported on child and mothers’ mental health, and mother-child relationship. Child trust perception was not associated with child or mothers’ mental health, or mother-child relationship (all p > .10), but we found age-related changes in perceived trust, with older children reporting faces as less trustworthy than younger children ( B = .32, p < .001). Although children’s social judgments might be associated with socio-emotional functioning in non-refugee populations, our results suggest that refugee children’s mental health does not seem to be linked to their perception of trust, and that trusting others might diminish with age in displaced, at-risk children.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".