Welfare Of Senior Citizens & Sustainable Development Goals: Learning For India
Bibliographic record
Abstract
The Sustainable Development Goals National Indicator Framework Progress Report 2023 ranked India 39th for Good Health and Well-Being. India ranks 112th out of 166 countries in the attainment of sustainable development goals, according to the Sustainable Development Report 2023. The Constitution of India, pertinent legislation, and many programs and initiatives at both national and state tier protects interests of senior citizens. Various countries implemented strategies, programs, and measures for the wellbeing of older persons within their jurisdictions. Studying the practices of Sweden, Denmark, Norway, the Netherlands, Canada, the United States, Australia, and Switzerland could enhance our country's ability to safeguard the interests of older residents more effectively. This study examines the welfare of older citizens in India and various other countries to enhance performance and safeguard their interests. The study proposes strategies and approaches for the wellbeing of older adults, informed by insights from many countries, utilizing a doctrinal research technique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".