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Record W2601080652 · doi:10.3138/jcfs.37.4.583

The Elderly and Family Change in Asia with a Focus in Iran: A Sociological Assessment

2006· article· en· W2601080652 on OpenAlexvenueno aff
Mohammad Taghi Sheykhi

Bibliographic record

VenueJournal of Comparative Family Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsLonelinessPovertyEconomic growthSociologyPhenomenonFamily lifeDevelopment economicsPolitical sciencePsychologyEconomicsSocial psychologySocioeconomics

Abstract

fetched live from OpenAlex

Elderly people and families are attracting the attention of many social scientists nowadays. The paper tries to explore how much social change in Asia is affecting family structure, and how deep elderly people are influenced by this transition. The trend of these studies has been following various ageing referring to socioeconomic implications for those societies. A concept of ageing being followed in industrial societies is not well defined or touched in many of Asian societies yet. Rising challenges out of the phenomenon need due to find solutions to avoid further complications and controversies as far as a changing in family is concerned. Consequences brought from ageing such as: loneliness, loss of status, being apart from productive system and similarly reduction in quality of life could be sociologically tackled to harmonize the ageing phenomenon with family's responsibility. Hence, lowering family poverty would help much. Shortage of appropriate social security system in many of Asian societies, changing attitudes from youth towards elderly, change of family values system and their likes. All of those facts have led the elderly to poverty and inappropriate services at the ending stage of their life. The gap between the perceived need for assistance of the elderly and thir received assistance could be filled up by family and that should be what <ul>they</ul> traditionally expect. Iran is also facing this challenge due to rapid changes in family, mainly caused by the change in family relations whose values have ended. Hence, adequate policies need to be adopted to end up with the emerging challenge in Asia.$$aged society, family solidarity, gerontology, far/lat/modernization.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.990

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 studies0.0000.000
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 head0.100
GPT teacher head0.399
Teacher spread0.299 · 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 designObservational
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

Citations11
Published2006
Admission routes1
Has abstractyes

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