Constrained from leaving or comfortable at home? Young people’s explanations for delayed home-leaving in 28 European countries
Bibliographic record
Abstract
Many comparative studies of home-leaving examine behavior associated with this transition and the relative importance of both structural and cultural factors in helping or hindering it. Yet, we know surprisingly little about how youth understand these factors on a broad scale to be influencing home-leaving for their generation. This article compares young people’s beliefs across cultures about why late home-leaving occurs using Eurobarometer survey data from 28 countries. I incorporate comparative home-leaving literature with theories about attitudinal worlds of welfare and explanations for social problems to argue that modes of explanation for late home-leaving hinge on whether youth see external, structural causes preventing earlier leaving (constraint-oriented explanations) or internal, more culturally motivated causes that lead individuals to stay at home longer (choice-oriented explanations). Demographic and institutional conditions that capture aspects of nations’ home-leaving contexts, such as women’s mean age at childbirth and the robustness of labor and housing markets, significantly correlate with the prevalence of these explanations. Findings suggest that youth tend to perceive their generation’s housing exits as structurally limited by scarce housing and weak purchasing power. However, in richer countries with more effective employment markets and better access to rental housing stock, choice-oriented explanations are more popular.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".