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Record W2795271419 · doi:10.17645/si.v6i1.1306

The Civil Society Dynamic of Including and Empowering Refugees in Canada’s Urban Centres

2018· article· en· W2795271419 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Inclusion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeImmigrationCivil societyAgency (philosophy)SociologyNeighbourhood (mathematics)Context (archaeology)PoliticsSettlement (finance)Corporate governanceUrban politicsPolitical sciencePublic administrationEconomic growthSocial scienceLawGeography

Abstract

fetched live from OpenAlex

This article addresses the critical role that civil society at the urban level plays in integrating and empowering immigrants and minorities in Canadian society. From a place-based approach, it investigates how key agencies in the local community have been instrumental in including immigrants in general and refugees in particular into the fabric of Canadian society. Empirically the analysis focuses on Neighbourhood Houses in Greater Vancouver and the Privately-Sponsored Refugee program in Canada. With the interpretative lens on the urban context, the article shows how immigrants and refugees have gained agency and voice in the public arena through place-based communities. The insight into these two empirical cases provides the basis for conceptualizing the socio-political dynamics of immigrant settlement and integration in terms of the effects generated by urban governance structures.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.309
Teacher spread0.298 · 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