Satisfaction with Life and Happiness among Young Adults and Retired Elderly Adults in Bangalore City
Bibliographic record
Abstract
Due to significant advancements in science and technology, particularly in the field of health sciences, older adults are a demographic that is becoming more and more prevalent in the modern world. An issue facing the world is the growing number of elderly people, and the government needs to focus more on this demography. In 2019, Sourour Y et.al. Life satisfaction has recently been proposed as the best indicator of the quality of life. Individual experiences in the outside world led to a deep and universal inner contentment known as life satisfaction. It expresses the individual's optimistic view of life and reflects their emotions towards the past, present, or future. Akarsu TN, Yeniaras V.(2017). Older persons with more life satisfaction also seem to engage more in health-promoting practices. Vijayakumar G, et.al.(2016). Life satisfaction (LS) correlates with various factors. They examined 141 empirical studies on young people's life satisfaction. According to C.L. Proctor et.al. (2009), research generally shows that children who are happy with their lives report better social and interpersonal connections, engage in healthier activities, and act less violently and antisocially. Everyone has the right to happiness, which is a universal value that everyone strives for. It has been underlined that an individual's sense of coherence affects this crucial health indicator. Lee T.S.H., and Chiang, H.H.,(2018). Presently individuals have developed a heightened interest in happiness as an objective. Numerous factors correlate with happiness in older persons. This particular study's objective was to evaluate life satisfaction and happiness among retired elderly persons compared to young adults. The sample had 120 participants, including 60 older persons, and 60 young adults. The sample consisted of people from Bangalore City. The researcher personally interacted with older and younger persons to administer the life satisfaction and Oxford Happiness questionnaire. A purposive sample design was selected for the investigation. The mean, standard deviation, and t-value were calculated using suitable statistical methods. The findings indicated a substantial disparity in life satisfaction and happiness between older and younger persons. A notable gender disparity was observed concerning life satisfaction and happiness.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".