Care work versus career work: Sibling conflict over getting priorities right
Bibliographic record
Abstract
As the average age of the Canadian population continues to increase, and providing care at home to frail older adults becomes ever more prevalent, support for family and friend caregivers remains a key social policy issue. Economic support is an important consideration given the impact of caregiving on labour force participation. Yet the caregiving/paid work relationship is not always straightforward. While caregiving often restricts employment, limited attachment to employment may also influence the decision to provide care. Isabel's story, collected as part of a study of sibling views of fairness in sharing parent care as well as parent assets, provides a case study in how siblings give different priority to care work versus career work and what support needs arise including those related to sibling conflict over differing priorities. Isabel claims she sacrificed her career to care for her ailing mother while her siblings argue that through caregiving, Isabel was sheltered from the paid workforce.
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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 | 0.001 |
| 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) | 0.001 | 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".