Sons Who Care: Examining the Experience and Meaning of Filial Caregiving for Married and Never-Married Sons
Bibliographic record
Abstract
In filial caregiving, women typically provide more care than men. The numerical predominance of female caregivers has been explained such that diversity among male caregivers has been overlooked. That is, "internalist" explanations, which emphasize the differing socialization experience of females and males, tend to homogenize each gender's caregiving experience. "Externalist" explanations, which emphasize various factors that push or pull women and men into caregiving, reduce the actors involved to passive agents whose subjective understanding of caregiving over time is ignored. Both explanations divert attention from the diversity in male caregiving. This article presents qualitative data derived from interviews with 48 caregiving sons to provide evidence of that diversity. Some themes are common to both married and never-married male caregivers, yet there are also systematic differences between the two groups of caregivers. For example, caregiving for married sons was more limited; caregiving for never-married sons was a more central element in their lives.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".