Language proficiency and sociocultural integration of Canadian newcomers
Bibliographic record
Abstract
Abstract This paper evaluates the sociocultural integration of newcomers, paying special attention to language proficiency while taking into account the importance of the assimilation, cultural fit, and social network perspectives. Analyses are based on administrative data collected by the YMCA of South Western Ontario regarding 2,493 of their clients. Results reveal that newcomers’ length of residency, ethnic origin, and social networks play a significant role in the sociocultural integration of newcomers. The longer the newcomers have resided in Canada, the higher their level of sociocultural integration. Non-Europeans displayed a lower level of sociocultural integration than Europeans. However, the most important predictor of sociocultural integration was language proficiency. Not only did language proficiency have a strong and independent effect, but it also tended to level out differences in sociocultural integration of those who had resided in Canada for a short period compared to those living in Canada for a longer period. Similarly, language proficiency decreased sociocultural integration differences between Europeans and ethnic minority newcomers. The policy implications of the results are discussed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".