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Record W1969683544 · doi:10.3406/espos.2003.2071

Polish and Somali Entrepreneurship and the Building of Ethnic Economies in Toronto

2003· article· fr· W1969683544 on OpenAlexaboutno aff
Lucia Lo, Carlos Teixeira, Marie Truelove

Bibliographic record

VenueEspace populations sociétés · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsSomaliHumanitiesPolitical scienceImmigrationEthnologyEthnic groupSociologyArtPhilosophy

Abstract

fetched live from OpenAlex

Polonais et Somaliens à Toronto : la construction d'économies ethniques. Les immigrants polonais et somaliens sont bien différents. Les Polonais sont un groupe d'immigrants plus ancien, peu visible bien qu'installé dans des quartiers spécifiques où il a su bâtir des institutions communautaires ; par contre, les Somaliens, groupe d'arrivée récente, sort nettement moins nombreux et n'ont pas encore bâti de structures institutionnelles spécifiques. Cette étude, basée sur une enquête auprès d'entrepreneurs polonais et somaliens arrivés au Canada après 1981, examine leur insertion dans l'économie et la société canadiennes. Le groupe somalien s'appuie davantage sur les ressources de la communauté pour démarrer et soutenir ses entreprises, et rencontre davantage d'obstacles économiques pour établir une économie ethnique. Les résultats suggèrent que la plénitude institutionnelle d'une communauté d'immigrants peut avoir un effet sur le succès de ses entreprises.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.166
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.004
Scholarly communication0.0040.001
Open science0.0000.004
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 head0.084
GPT teacher head0.393
Teacher spread0.309 · 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

Citations15
Published2003
Admission routes1
Has abstractyes

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