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Record W4400979279 · doi:10.4314/jsda.v39i1.5

Caregiving practices for older persons in Africa: Changing trends and implications for transformative social work

2024· article· en· W4400979279 on OpenAlexaff
Chika Rita Ikeorji, Ajwang’ Warria

Bibliographic record

VenueJournal of Social Development in Africa · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTransformative learningSociologyWork (physics)Gender studiesSocial workEconomic growthEconomicsPedagogy

Abstract

fetched live from OpenAlex

In Africa, the caregiving of older adults is primarily provided by the family. However, there have been changes in these traditional caregiving practices due to changing social, economic and health landscapes, requiring a transformative approach to caring for older people in Africa. The AU Policy Framework and Plan Action on Aging/HAI have made recommendations considering the inadequacies of family caregiving. This narrative literature review examined the arguments of scholars within the position of AU/HAI recommendations within the culture of informal care for older people as well as what potential challenges and opportunities arise from the evolving perspectives on caregiving in Africa. The Ubuntu and Relational-Cultural theories were used as a framework for the study. Findings reveal that scholars have justifiably argued for the adaptation of the African perspective on caregiving for older people due to its inadequacy in addressing evolving health, social, and economic factors associated with ageing. Scholars advocate for a paradigm shift towards a more robust and integrative system of care that considers not only the traditional values and familial structures but also aligns with the changing needs of the older population to foster a supportive and effective caregiving environment for older people in Africa. It is recommended that an encompassing social care, policies, and programs should reflect the specific concerns of older women and men such that all people, irrespective of age, can live long and healthy lives.

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)0.002
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: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.046
GPT teacher head0.338
Teacher spread0.292 · 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

Citations8
Published2024
Admission routes1
Has abstractyes

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