The effect of family and work transitions on mid-later life satisfaction domains
Bibliographic record
Abstract
This study examined the role of work and family transitions on parental, marital, financial, and leisure satisfaction among mid- and older-aged parents of young adult children (aged 17-35). Guided by the life course perspective, this research, employed a mixed-methodological approach, which entails the analysis of quantitative and qualitative data. The quantitative analysis was conducted on a subsample of 391 married participants (mean age of 55) from the Vancouver-based Parenting Project dataset. In-depth qualitative interviews were also conducted with 12 parents to elucidate key quantitative findings. Findings showed that work and family transitions influence different satisfaction domains, but that these associations depend on the family and work contexts (i.e., presence of children, work/retirement status). Results can be used to assist in the development and implementation of workshops to assist families experiencing concurrent family and work transitions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".