Planning of Nursing Home Care Services in Jordan: Its Reality and Challenges
Bibliographic record
Abstract
United Nations Principles for Older Persons acknowledge five rights to elderly or older persons, these rights are the right of "independence, care, self, fulfillment, dignity, participation. The demographic Indication witnessed increasing trends in population pyramid at developed countries on aging rates world wide, especially in most of developing countries. So in order to address this growing dilemma at our civilized world its proved at statistics surveys, on current research work as it will try to expose to efforts the plans made by many Jordanian Civil &Governmental initiatives for facing this category for the purpose of providing high standards services at both health and social care services for elderly people and to help them reaching a self-realization, and to encourage them in developing their potential through resources available in different aspects of the community educationally, culturally, spiritually and even through recreational activities. The present study aims to identify current capabilities that available in serving elderly people at two main Nursing Home Centers in Jordan located in Amman. Its limitation to only two most serving accommodated numbers of elder's Nursing Home centers the first is: White Beds Society and the second is: Centre for Princess Muna older women Nursing homes / Orthodox Charity as both are largest and oldest of Nursing homes centers serving elderly. The research concluded many numerous results most important are: There shall specialized cooperation bodies in charge of deals with other institutions working in the field of aging society, as of governmental organizations,
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".