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Record W1987348347 · doi:10.5539/ass.v7n10p94

Planning of Nursing Home Care Services in Jordan: Its Reality and Challenges

2011· article· en· W1987348347 on OpenAlexvenueno aff
Hasan Salih Suliman Al-Qudah

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsNursingNursing homesPsychologyBusinessMedicine

Abstract

fetched live from OpenAlex

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,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.736
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.122
GPT teacher head0.342
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2011
Admission routes1
Has abstractyes

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