Understanding Political Integration Among Syrian Refugees in Calgary
Bibliographic record
Abstract
Newcomers to Canada are essential for the nation's cultural and economic vitality. However, research has primarily focused on immigrant integration, overlooking refugees. This study aims to fill this gap by examining the political integration of Syrian refugees in Calgary, Alberta, based on 21 semi-structured interviews. Specifically, it seeks to answer two main questions. First, what factors facilitate the attitudinal and behavioural political integration of Syrian refugees in Calgary? Second, what is the role of social capital in facilitating the attitudinal and behavioural political integration of refugees? Utilizing deductive thematic analysis, the study uncovers a need for enhanced political education. It also identifies the impact of individual variables like news consumption and political interest. A sense of belonging to Canadian society also emerged as an influential factor in political integration. Moreover, social capital, exemplified through membership in organizations, increased political participation and a sense of belonging. These findings suggest the need for new theories specifically focused on refugee political integration. Key words: political integration, syrian refugees, social capital, sense of belonging, canada
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".