Equity Matters: Doing Fairness in the Context of Family Caregiving
Bibliographic record
Abstract
Although family scholars conceptualize caregiving in terms of networks of carers, little attention has been given to equity within these groups. Siblings comprise a prevalent caregiving network of members who feel responsible for parent care, expect to share these responsibilities with each other, and look to each other to evaluate the fairness of their sharing. In this paper, a multidisciplinary approach is used to examine sibling views of equity in relation to disputes over giving parent care and receiving parent assets. A literary perspective is offered through analysis of stepsibling tensions depicted in the novel Family Matters. Real life disputes among biological siblings that have been pursued through the courts are also examined. Issues arising from these examples are then analysed through the lens of legal doctrines of equity. Siblings evaluating fairness undertake careful comparisons of their respective relationships with parents in terms of biological links to parents and type and extent of influence in interactions with parents.
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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 | 0.006 | 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 | 0.001 | 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".