Mine, yours, ours, or no one's? Homeownership arrangements among cohabiting and married couples
Bibliographic record
Abstract
Multiple studies examine how couples organize their economic resources, but most focus on wages, with little attention to assets. This paper helps to fill this research gap in Québec (Canada) by asking what proportion of married and cohabiting different-sex couples of working age jointly own their primary residence, instead of remaining in more independent arrangements regarding this asset-either through individual ownership of the home by the man or the woman or by not owning one at all. Also, drawing on transaction cost and institutional approaches to economic organization, we explore variation on several relationship characteristics. Individual ownership is uncommon, especially by the woman, but it is more prevalent among couples with little time together and who do not have children. Individual ownership is also more common among income-unequal couples than equal ones, because, we argue, it allows primary earners to cover housing costs without transferring wealth. Those results advance knowledge on both within-household wealth inequality and conjugal redistributive practices.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".