Demographic characteristics, migration traumatic events and psychological distress among Sri Lankan Tamil refugees: a preliminary analysis
Bibliographic record
Abstract
The objective of this preliminary analysis is to examine the differences in risk factors by host country in addition to overall risk factors based on demographic features of Sri Lankan Tamil refugee participants. This original research used a two -group comparison, cross-sectional design to conduct a pilot study among Sri Lankan Tamil refugees in Canada and India. Statistical analyses that compared the mean number of pre-migration trauma events for those in Canada (M = 10.98, SD = 4.77) to those in India (M = 6.63, SD = 4.65) was found to be statistically significant at an alpha level of 0.05, t(81) = −4.20, p < 0.001, indicating that those living in Canada had experienced more pre-migration traumatic events. Research results also indicate that post-migration traumatic events for those in Canada were statistically significant (M = 5.12, SD = 1.23) at an alpha level of 0.05, t(69.26) = −2.66, p = 0.010, indicating that those living in Canada had experienced more post-migration traumatic events. A deeper analysis will bring the applicability of refugee theory in refugee services.
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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 | 0.000 | 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 | 0.000 |
| 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".