International Comparison of Social Support Policies on Long-Term Care in Workplaces in Aging Societies
Bibliographic record
Abstract
A decrease in the working-age population in aging societies causes a shortage of employees in workplaces due to long-term care (LTC) leave for family and relatives as well as longer working hours or overwork among those remaining in the workplace. We collected and analyzed literature and guidelines regarding social-support policies on LTC in workplaces in seven countries (Canada, France, Germany, Japan, Sweden, the UK, and the USA) to propose an effective way of occupational health support for those in need. Our analysis indicated the existence of a system that incorporates the public-assistance mechanism of providing unused paid leave to those in need. Additionally, recipients of informal care provided by employees tended to expand to non-family members under the current occupational health system. On the other hand, the health management of employees as informal caregivers remained neglected. Likewise, salary compensation and financial support for LTC-related leave need to be improved. In order to monitor and evaluate the progress and achievement of current legal occupational health systems and programs related to the social support of LTC among employees, the available national and/or state-based quantitative data should be comparable at the international level.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".