The Social Reconstruction of “Home” among African Immigrants in Canada
Bibliographic record
Abstract
Many Africans migrating to new countries view this as a temporary economic move. Most hope to return to their homelands, after acquiring sufficient money and resources to live comfortably. However, for many African immigrants relocated in Canada, there is an “emotional reconstruction” of “home” as they begin to regard their adopted country as their permanent home. This deconstruction and reconstruction process involves very complex processes of emotional, cultural, economic, and social adjustment. This study of African immigrants in three Canadian cities—Montreal, Toronto and Winnipeg—demonstrates how they continue to maintain a strong attachment to their homelands, while struggling with adapting to their new country. Beaucoup d’Africains qui émigrent dans de nouveaux pays, pensent que ce n’est qu’un geste tem-poraire de caractère économique. La plupart espèrent revenir dans leur patrie, une fois acquis l’argent et les ressources qui leur permettront de vivre confortablement. Cependant, pour nombre d’émigrés africains relocalisés au Canada, une «reconstruction émotionnelle» d’un «chez soi» s’élabore au fur et à mesure que leur terre d’adoption devient pour eux un domicile permanent. Ce processus de déconstruction et de reconstruction comprend un mécanisme très complexe d’ajustement émotionnel, culturel, économique et social. L’étude ci-dessous d’émigrés africains dans trois villes canadiennes – Montréal, Toronto et Winnipeg – montre comment ils continuent à maintenir un lien fort avec leur pays d’origine, tout en luttant pour s’adapter à leur nouveau pays.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".