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Record W2032859286 · doi:10.1017/s000842391200073x

Municipal Roles in Immigrant Settlement, Integration and Cultural Diversity

2012· article· en· W2032859286 on OpenAlexaffabout
Livianna Tossutti

Bibliographic record

VenueCanadian Journal of Political Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsBrock University
Fundersnot available
KeywordsImmigrationMulticulturalismPolitical scienceDisadvantagedBureaucracyDiversity (politics)Equity (law)Cultural diversityPublic administrationPublic policyGovernment (linguistics)SociologyPoliticsLaw

Abstract

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Abstract.This article examines municipal government roles in immigrant settlement, integration and cultural diversity in six of Canada's most diverse cities. Drawing on documentary and interview evidence, the review of corporate initiatives in Vancouver, Abbotsford, Calgary, Edmonton, Toronto and Brampton addresses three areas: the position or profile of these issues on the municipal government agenda; diversity, human rights and anti-racism policies for city institutions and the broader community; and access and equity policies. The inventory provides the data for a proposed local-scale typology that classifies and distinguishes among cities according to the normative premises underlying the official recognition of cultural differences in the public sphere, the types and extent of initiatives and the locus of bureaucratic authority for these issues. The analysis identified distinct approaches at the sub-state level. Toronto was the only city that has fully embraced a multicultural approach recognizing cultural diversity in most or all aspects of its corporate policies and structures and which grants collective rights to members of disadvantaged groups. The intercultural or civic universalist approaches prevailed in most study sites. Just three cities have developed comprehensive and relatively centralized approaches to these issues. The results suggest that sub-state authorities will not necessarily adopt the discourse and policy responses associated with state-level multiculturalism. Résumé.Cet article examine les approches des gouvernements municipaux dans six municipalités diverses du canada en ce qui concerne l'établissement des immigrants, l'intégration et la diversité culturelle. L'inventaire des initiatives au niveau de l'entreprise à Vancouver, Abbotsford, Calgary, Edmonton, Toronto et Brampton s'adressent à trois secteurs : la position ou le profil d'établissement des immigrants, l'intégration/problèmes de diversité dans le programme du gouvernement municipal; la diversité, les droits de l'Homme et les politiques anti- racisme pour les institutions de la ville et la communauté dans son ensemble; et les politiques d'accès et d'équité. L'inventaire forme la base d'une typologie à échelle locale qui est structurée en trois parties : les prémisses normatives fondamentales soulignant la reconnaissance officielle des différences culturelles dans la sphère publique; les types et l'étendue des initiatives et le lieu d'autorité bureaucratique de ces problèmes. L'analyse de preuves documentaires et d'entrevues a identifié des approches distinctes à l'établissement des immigrants, l'intégration et la diversité culturelle. Toronto était la seule ville a approuver entièrement l'approche multiculturelle qui reconnaît la diversité culturelle et tous les aspects de ses politiques et de ses structures d'entreprise, tout en accordant des droits collectifs aux membres de groupes défavorisés. Les approches interculturelles ou universelles ont prévalu dans la plupart de sites d'études. Juste deux villes ont développé des approches complètes et relativement centralisées à ces problèmes. Les résultats suggèrent que les autorités de sous-état n'adopteront pas nécessairement les réponses de discours et politique qui sont associé avec le multiculturalisme d'état-niveau.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.011
Scholarly communication0.0060.001
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.028
GPT teacher head0.309
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations54
Published2012
Admission routes2
Has abstractyes

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