A Comparative Analysis Of Gender And Old Age Problems In Khyber Pakhtunkhwa, Pakistan
Bibliographic record
Abstract
The study of old age problems is an emerging field in Pakistan. Old age brings variety of problems for both males and females, however, the nature of the problems of elderly men and women are different. This paper compares and analyses the problems faced by elderly men and women. This research study has been conducted in the semi urban town of Timergara, the head quarter of District Dir Lower, Khyber Pakhtunkhwa. Data was collected from the respondents aged 60 years and above through in-depth interviews. The respondents were selected using convenient sampling technique. The study finds that because of gender discrimination and cultural factors, women have lower access to health services than men. Consequently health problems of elderly women are more severe than the health problems of elderly men. The study further finds that women at old age are poorer than men due to cultural restrictions on education, women employment, deprivation from property inheritance. Lack of old age pension and widowhood also plays role in poverty of elderly women.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".