Roles and Help to Parents in a National Probability Sample of Canadian Adults
Bibliographic record
Abstract
This article considers, for a Canadian national probability sample of middle-aged women and men, the question of how typical is the experience of being "caught in the middle " between being the adult child of elderly parents and other roles. Three roles are examined: adult child, employed worker, and parent (and a refinement of the parent role, being a parent of a co-resident child). Occupancy in multiple roles is examined, followed by an investigation of the extent to which adults in various role combinations actually assist older parents and whether those who provide frequent help are also those "sandwiched " by competing commitments. The majority of middle-aged children do not provide frequent help to parents. Notably, the highest proportion of daughters who assist elderly parents are those in their fifties whose children are no longer co-resident. For both sons and daughters, being "caught in the middle " is far from a typical experience in this cross-sectional analysis. THE effects on family structure of decreased mortalityrates, increased life expectancy, and decreased fertility rates in modern societies have been described by demogra-phers. Within families, members of more generations are likely to be alive at one time, although, with the exception of the oldest, the size of each generation is likely to be rela-tively smaller than was the case in the past (Bengtson,
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".