THE PRACTICE OF CARING FOR THE ELDERLY POPULATION AND PEOPLE WITH COGNITIVE IMPAIRMENTS IN FOREIGN COUNTRIES
Bibliographic record
Abstract
The purpose of the review is to analyze the practices of caring for the elderly population and people with cognitive impairments in the focus of the XXI century among the peoples of different countries. Materials and methods. Using the method of scientometric analysis, 20 articles from WoS and Scopus on historical anthropology, demography, and social security were studied. The information is synthesized and taken in accordance with the purpose of the study. Results. Learning the transformation in the practices of caring for the elderly population and people with cognitive impairments is a relevant interdisciplinary direction in anthropology. The relevance of the topic is emphasized by current demographic changes, the evolution of cultural values and modernization of care systems for the older generation. The data obtained show the evolution of society in relation to the elderly population with possible mental disorders. The selected models of care contribute to understanding the trends in the development of the society. For Europe, significant partners as a source of care in old age and the existence of “Money for care” and “Kind care” schemes, organized individual and family consultations by phone or ad hoc. In Canadian society, according to existing government programs, the emphasis in palliative care is placed on long-term care homes. Assistance in Africa is becoming a collective responsibility of family members, with frequent use of biomedical and non-medical methods of treatment. The countries of Latin America and the Caribbean are characterized by a fragmented system of facilitation and assistance to older people. Conclusions. The author notes social isolation of the older generation and the state unpredictability of using the knowledge resource as intellectual capital in the economy. At the same time, there is a timely response of the UN to the ongoing demographic processes and promotion of the WHO program to create the concept of a “city favorable for older people”. Properly organized guardianship will help the elderly to maintain self-esteem. The demographic and economic processes taking place in the historical moment are changing the attitude of society to this problem. The author expects that a positive orientation of caring for the elderly population and people with cognitive impairments observed in the XXI century will not change its course. The information provided in this article is useful for specialists working in the field of history, sociology, healthcare, guardianship, etc., as well as in the framework of improving information support in the specialty 5.6.4. Ethnology, anthropology and ethnography.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".