THEORISING LIFECOURSE TRAJECTORIES OF FAMILY CARE AND RISKS OF LATE LIFE SOCIAL EXCLUSION
Bibliographic record
Abstract
Family care, while often rewarding, can negatively affect carers’ health, wealth and social connections. Yet our understanding of the impacts of family care is based primarily on current or single care episodes. In this presentation we theorise how life courses of family care might lead to cumulative advantage/disadvantage for carers. Based on life course principles of transitions and linked lives and the extant research literature on care, we theorise three care trajectories. These are: Serial, involving multiple episodes of care for different people; Continuous, primarily involving one lengthy episode of care for an individual; and Generational, in which care is provided to older and then same-generation close family members. We consider the paradox of how such ‘informal’ care relationships, often viewed as ideal, might lead to late-life social exclusion. We call for further critical theorizing and empirical analyses of the relationships between diverse care trajectories and later life outcomes.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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".