Civic Capacity and Engagement in Building Welcoming and Inclusive Communities for Newcomers: Praxis, Recommendations, and Policy Implications
Bibliographic record
Abstract
As newcomers, immigrants and refugees contribute to social and cultural diversity, and play an important role in communities’ social and economic development. However, their talent, energy, and entrepreneurial spirit and skills can only be fully harnessed when the communities are welcoming and inclusive. Drawing from a two-year qualitative research study conducted in the Province of Prince Edward Island, Canada, this paper examines the degree of civic capacity, along with policies and practices related to building a welcoming and inclusive community for immigrants and refugees. Through examining civic capacity and high-impact practices and programs to support the integration of immigrants and refugees, this paper shares new insights on how community stakeholders interact with each other to support or subvert the inclusion and equity in the community and offers policy implications and practical recommendations on building welcoming communities for immigrants and refugees in small communities.
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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 | 0.019 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.021 | 0.015 |
| Open science | 0.003 | 0.018 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".