Canadian Citizens’ Helping Intentions toward Syrian Refugees
Bibliographic record
Abstract
Abstract Since 2011, over 5 million refugees have fled civil war in Syria (UNHCR, 2018). Canada has responded tothe Syrian refugee crisis by resettling over 50,000 Syrian refugees and encouraging its citizens to supportthe integration process. Previous research has shown that when in-group members take the perspectiveof an out-group it leads to increased helping intentions toward that out-group (Mashuri, Hasanah,Rahmawati, 2013). To replicate and extend these findings in a Canadian context, the current study soughtto answer the question: How does national identity impact the relationship between perspective taking andhelping intentions toward Syrian refugees? The results indicated that when undergraduate participantsengaged in perspective taking, it led to increased financial helping intentions toward Syrian refugees,and this relationship was mediated by empathy. It was also found that individuals with a greater ethnicnational identity had lower levels of political and financial helping intentions toward Syrian refugees. Keywords: Syrian Refugees, Immigrants, Newcomers, Canada, National Identity, Ethnic National Identity, Perspective Taking, Empathy, Helping Intentions
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".