Just Caring for Caregivers: What Society and the State Owe to Those Who Render Care
Bibliographic record
Abstract
Traditional considerations of justice for those who require caregiving have centered on what is due to the dependent person. However, considerations of justice also bear strongly on what is due to the caregiver. I focus on unpaid dependency work, too long treated as a private matter rather than a public concern. More is owed to those who render care: the division of labor is unjust, the nature of dependency work creates vulnerabilities for caregivers, and unpaid caregivers are disadvantaged in the world of paid work. Obligations to mitigate these facts are ultimately based on the truth that all members of society at some point in their lives benefit from caregiving and that noncaregivers benefit unfairly from the heavy distribution of dependency work to a small number of certain kinds of individuals. It is necessary to ask which agents of justice are responsible for remedying this state of affairs, and how. I propose a distributed scheme of obligation in which members of society and the state, as arbiter of social responsibility, share responsibility for the remedy. It is incumbent upon us as a society to refrain from making vulnerable the most essential among us, to reap benefits without sowing unjust burdens.
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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 | 0.004 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".