“Leaving Home Ain't Easy:” The timing and pathways of young immigrants’ home‐leaving transitions
Bibliographic record
Abstract
Leaving the parental home to live independently has long been a marker of one's transition to adulthood and a sign of immigrant adaptation to the host country. The timing and pathways of home-leaving are important for both the housing trajectories of young adults and the overall housing demand of immigrant receiving areas. However, young adults-immigrants or not- have increasingly been delaying this transition, opting instead to stay in the parental home for an extended period of time. In this paper, we conceptualize home-leaving as a decision made over time-influenced by individual, family, and contextual factors-and use panel data collected in the 2011 and 2017 Canadian General Social Survey (GSS). Through both a Cox proportional hazard model and a competing risk model, we examine the timing of exit from the parental home, the determinants of this exit, and the variable rates of independent household formation across immigrant, non-visible, and visible minority groups. We find, although the relationship is not always linear, generational status, as well as race and ethnicity, play an important role in not only the timing, but also the destination of home leaving, while age at arrival is particularly salient for racialized immigrant groups. Young immigrants of visible minority background are generally less likely to leave their parental home, even though immigrants to Canada are selected for their ability to succeed in Canada.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".