Connecting immigrant communities to local government : the case of Richmond, BC
Notice bibliographique
Résumé
Richmond, British Columbia stands out amongst Canadian cities by having one of the nationally highest concentrations of immigrants in its population, as 62% of Richmond’s residents are first generation immigrants. Although immigrants from China and Hong Kong constitute a significant percentage of overall immigrants to Richmond, in the last 8 years, there have been notable numbers immigrating from the Philippines, Taiwan, and India. Along with the high population of immigrants comes the challenge of engaging newcomers as well as non-English speakers in unfamiliar City government processes. In response to the identified needs and recommended actions from the 2013- 2022 Social Development Strategy as well as the 2012-2015 Richmond Intercultural Strategic Plan, the Connecting Immigrant Communities to Local Government project was created. This project attempts to answer: How can the City of Richmond support immigrant civic engagement? Civic engagement is defined as knowledge about civic processes and the capacity to participate in local planning and governance. The project reached out to three different groups of stakeholders to receive input about opportunities to improve immigrant civic engagement. These three groups included City of Richmond staff, staff from immigrant-serving community organizations, and immigrant residents in Richmond. In Richmond, the non-profit and public sector offer various programs that focus on sharing information with newcomers about how City Hall and other levels of government function. There are also a few initiatives that try to strengthen connections between immigrants and City Hall. The gap that exists in Richmond is a long-term educational program that provides consistent support and training for immigrants on how to engage with their City and community at a decision-making level. Immigrant residents face multiple barriers when interacting with City Hall. The primary barrier is language, as many newcomers have limited English language skills and City staff may be using high-level, professional means of communication. The Canadian government’s federal structure can be confusing for both newcomers and established immigrants, and the City’s consultation processes can also be intimidating for people who do not regularly interact with City Hall. Immigrants from certain countries may have a strong mistrust of government due to their former experiences with more authoritative governance systems. For some immigrants, City Hall may not be a welcoming space due to a perceived lack of staff and citizen participants from their racial background. City staff also face various challenges when they are attempting to engage immigrant residents in their planning processes. Staff struggle with providing appropriate translation due to a lack of resources and clear corporate guidelines. Staff also face difficulties finding translators trained in the City’s technical fields. City staff often conduct outreach to the general public as a whole and are limited in their capacity to target specific demographics due to time and financial constraints. Moreover, engaging immigrant residents in meaningful discussions requires facilitation skills that many staff are not trained in. The City of Richmond has a role in supporting immigrant civic engagement and there are opportunities for the City to improve their outreach to immigrant communities. The following table is a summary of this report’s recommendations, based on the feedback from this project’s participants.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,043 | 0,007 |
| Communication savante | 0,008 | 0,002 |
| Science ouverte | 0,002 | 0,009 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».