Building a Multicultural Coalition: Promoting Participation in Civic Society among Ethnic Minority Communities
Bibliographic record
Abstract
An extensive body of literature on participation and civic engagement documents the underrepresentation of ethnic minorities in the political processes of their adoptive countries and the systemic causes for this occurrence. However, there remains a critical need to understand how to address this issue for the benefit of ethnic minority communities, governments, and society. In this article, the authors describe the development of a multicultural coalition and strategies used that promote participation in civic society. Findings suggest that public institutions can successfully create the space for meaningful civic engagement if attention is paid to the diverse understandings of what political participation means in Canadian society from the perspective of ethnic minority communities. De nombreuses études sur la participation et l'engagement civique des minorités ethniques documentent leur sous-représentation dans les processus politiques de leurs pays d'adoption et les causes systémiques de ce phénomène. Un besoin critique se fait cependant encore sentir, de comprendre comment faire face à ce problème pour le bénéfice de ces communautés, des gouvernements et de la société. Dans cet article, les auteurs décrivent le développement d'une coalition multiculturelle et les stratégies employées pour promouvoir cette participation à la société civile. Nos résultats suggèrent que les institutions peuvent ouvrir avec succès un espace à un engagement civique qui ait du sens, si on porte attention à une compréhension diverse de ce que la participation politique signifie dans une société canadienne qui inclue le point de vue des communautés ethniques minoritaires.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".