Bibliographic record
Abstract
Drawing on secondary literature, this paper first identifies trends in Jewish religious intermarriage in Canada—including variation over time, gender, age and community size. It then critically examines results from the 2018 Survey of Jews in Canada to explore factors associated with intermarriage. Binary logistic regression demonstrates that intermarriage is significantly and independently associated with residing in cities other than Montreal and Toronto, relative youth, male gender, having little Jewish secondary socialization outside the family and having both parents born in Canada. The statistically positive effect of having intermarried parents on children’s likelihood of intermarriage falls if children attend full-time Jewish school and summer camp with Jewish content. The effect disappears if at least one parent is an immigrant. These findings imply that the rising rate of intermarriage can be significantly mitigated if the Jewish community finds the means to increase the proportion of children who undergo intensive Jewish secondary socialization and the proportion of immigrants in the Jewish community. The paper concludes by discussing policies that could facilitate this outcome.
 
 En s’appuyant sur la littérature secondaire, cet article identifie d’abord les tendances des mariages interreligieux juifs au Canada, y compris les variations dans le temps, le sexe, l’âge et la taille des communautés. Il examine ensuite de manière critique les résultats de l’enquête de 2018 sur les Juifs au Canada afin d’étudier les facteurs associés aux mariages mixtes. La régression logistique binaire démontre que les mariages mixtes sont associés de manière significative et indépendante à la résidence dans des villes autres que Montréal et Toronto, à la jeunesse relative, au sexe masculin, à une faible socialisation secondaire juive en dehors de la famille et au fait que les deux parents sont nés au Canada. L’effet statistiquement positif du fait d’avoir des parents mariés à des non-Juifs sur la probabilité de mariage mixte diminue si les enfants fréquentent une école juive à temps plein et un camp d’été à contenu juif. L’effet disparait si au moins un des parents est un immigrant. Ces résultats impliquent que le taux croissant de mariages mixtes peut être considérablement atténué si la communauté juive trouve les moyens d’augmenter la proportion d’enfants qui poursuivent une socialisation secondaire juive intensive et la proportion d’immigrants dans la communauté juive. L’article conclut en discutant des politiques qui pourraient faciliter ce résultat.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".