Publicly Funded and Family-Friend Care in the Case of Long-Term Illness: The Role of the Spouse
Bibliographic record
Abstract
In recent years, considerable attention has been devoted to the value of unpaid work in the economy. One very important aspect of unpaid work is caregiving for chronically ill or disabled people and the question of whether or not family-and-friend caregiving eases the burden on the publicly funded system. Using data from the 1996 General Social Survey, this paper investigates the extent to which the presence of a spouse of a senior aged 55 and over with a long-term illness reduces the amount of publicly funded care received. The findings from the multivariate Tobit analysis show that the presence of the spouse does significantly reduce the amount of publicly funded care used. This result is not gender-specific. The total hours of caregiving by the spouse are valued, as well as the savings generated for the publicly funded system, and the policy issue of tax relief for spouses who are engaged in long-term caregiving is explored.
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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 | 0.000 |
| 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".