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Record W2026136896 · doi:10.1177/019791830003400404

The Role of Ghanaian Immigrant Associations in Toronto, Canada

2000· article· en· W2026136896 on OpenAlexaboutno aff
Thomas Y. Owusu

Bibliographic record

VenueInternational Migration Review · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceImmigrationHomelandSettlement (finance)Ethnic groupPoliticsVariety (cybernetics)Economic growthDemographic economicsSocioeconomicsPolitical scienceGeographySociologyBusinessEconomics

Abstract

fetched live from OpenAlex

Using information collected in a questionnaire survey, this article investigates the role of Ghanaian immigrant associations in Toronto to illustrate how a group of recent African immigrants organizes itself to address needs related to their settlement in a new country. The study finds that Ghanaians have established a relatively large network of township, ethnic, and national associations. The associations fulfill a wide variety of economic, cultural, social and political functions related to the needs of the immigrants in the new country. At the same time, the associations serve their needs in the homeland: the immigrants use them to contribute to community development efforts, fight for certain political rights, and maintain ties to the homeland. Analysis showed that length of residence, level of education, income, and residential location were the most important determinants of membership in Ghanaian associations.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.290
Teacher spread0.284 · 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 designQualitative
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

Citations92
Published2000
Admission routes1
Has abstractyes

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