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The Community Engagement of Immigrants in Host Societies: The Case of Canada

2011· article· en· W2113723599 on OpenAlex
Abdolmohammad Kazemipur

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsImmigrationGovernment (linguistics)WelfarePopulationSocial WelfarePrivate sectorDemographic economicsEconomic growthPolitical scienceSociologyEconomicsDemography

Abstract

fetched live from OpenAlex

Abstract Using the data from the General Social Survey (2003), the community engagement of immigrants in Canada has been examined along 15 different dimensions. The findings indicate that immigrants add to the overall level of community engagement in Canada in the areas of confidence in public institutions ‐‐ such as judiciary, government, police, welfare system, education, and health care ‐‐ and involvement in religious activities. The areas in which immigrants fall behind are those that involve social interactions with the host population (e.g., trust, neighbourliness, social networks, group activities, volunteering, etc.) or engagement with private sector (i.e., confidence in private institutions such as banks and major corporations). Some of these measures of community engagement improve over time, but there is also an alarming trend that some decline with longer stays in Canada. The implications of these findings are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.333

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 studies0.0000.000
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 head0.060
GPT teacher head0.292
Teacher spread0.232 · 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