Ukrainian Diaspora in Canada: Methodology and Practice of Research
Notice bibliographique
Résumé
The aims of this paper are the estimation of demographic and socio-economic characteristics of the Ukrainian diaspora in Canada, and the description of methodological problems arising in the process of its implementation. Population censuses, which represent the entire population of Canada, including those of Ukrainian origin, are considered as the most comprehensive, informative and reliable source of information on Ukrainians in Canada. The paper shows that methodological problems are caused both by the specifics of the ethnic group and by changes in census procedures. The article focuses on the changes in Canadian ethnic terminology in early population censuses. It is noted that census statistics experienced a significant change in the definition of ethnicity. Starting in 1986, the question on ethnicity includes descendants of mixed ethnic marriages; this makes it impossible to compare numbers of Ukrainians in previous years. A map of the distribution of ethnic Ukrainians was constructed based on data from the 2016 Canadian population census. The paper analyzes changes in the age and sex structures of the population of Ukrainian origin and their language characteristics. Trends in the number of persons of Ukrainian origin, who consider Ukrainian as their mother tongue, are assessed. We show that the proportion of persons over 65 years of age with Ukrainian mother tongue is constantly increasing, while the respective proportion of younger persons is decreasing. The number of Canadian Ukrainians who know Ukrainian is decreasing. Their distribution by age groups has a clearly defined right-sided asymmetry, i.e., the top of the curve is constantly shifting towards the older age groups. The article shows that the overwhelming majority (90 % and more) of ethnic Ukrainians know and use English, while French is much less prevalent. The proportion ISSN 2072ISSN -9480. , 2019, 3 (37) , 3 (37) of persons who know both official languages is increasing and this proportion among ethnic Ukrainians is similar to the proportion for the whole population of Canada. The proportion of persons who do not speak any of the official language is decreasing and is less than one percent. We show that Ukrainians have fairly good socio-economic positions relative to the Canadian population as an ethnic group. For example, their position in the labor market is in some cases more advantageous compared to the national average.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».