Bibliographic record
Abstract
A significant number of Sri Lankan Tamils fled the violence unleashed during the civil war (1983–2009) between Tamils and the Sri Lankan government. The largest concentrations of Sri Lankan Tamils outside of Sri Lanka exist in Canada and India. The objective of this study is to examine the impact of pre-migration and post-migration experiences on Sri Lankan Tamil refugees in Canada and India. A total of 35 refugees participated in the qualitative study. Data were gathered through semi-structured interviews. About 28 participants were from Gummidipoondi refugee camps near Chennai, India, and seven were from Toronto, Canada. There were 22 males and 13 females. The content analysis revealed war-related complex distress among participants. Major themes identified were civil war, genocide and escape, settlement/Kudiyettam, the role of the United Nations and Refugee Board policies. The results of the study emphasize the distress caused by the civil war and the subsequent journey many refugees took to reach their current settlements. Post-migration settlements including migration policies continue to prolong suffering and psychological abuse for many Sri Lankan Tamil refugees. Expanding and negotiating these policies to fit diverse cultural, social and political human experiences would better serve refugees during their migratory journey.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".