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Record W2016584054 · doi:10.1017/s0144686x13000317

Everyday mobilisations among grandmothers in South Africa: survival, support and social change in the era of HIV/AIDS

2013· article· en· W2016584054 on OpenAlexaff
May Chazan

Bibliographic record

VenueAgeing and Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsTrent University
FundersFamily Process Institute
KeywordsPovertyStigma (botany)Human immunodeficiency virus (HIV)Focus groupParticipant observationPsychologySocial supportGerontologyGender studiesSociologySocial psychologyMedicinePolitical sciencePsychiatrySocial scienceFamily medicine

Abstract

fetched live from OpenAlex

ABSTRACT In many sub-Saharan African communities, caring for vulnerable children in the era of HIV/AIDS appears to be creating deep financial, physical and psychological strains for care-givers, the great majority of whom are ageing women or ‘grandmothers’. Yet, limited primary research has been carried out with older women in specific communities, and therefore grandmothers' collective responses, sources of support, complex lived experiences, and diverse family situations are not well understood. This paper presents the findings of research undertaken in four communities in KwaZulu-Natal, South Africa, between 2006 and 2010. The purpose was to understand the daily stresses, collective responses and mobilisations of older women in these communities. The research involved repeated focus groups, interviews and participant observation involving approximately 100 older women. In the analysis, attention is given to the diversities among participants, the ways in which HIV/AIDS intermingles with other stresses in their lives to drive their mobilisations, and their collective responses, even amidst highly constrained conditions. Through these lenses, the paper illuminates how older women in these communities are organising in response to the combined, devastating and diverse effects of HIV/AIDS, poverty, violence and illness. It also suggests that, counter to some stereotyping of ‘African grandmothers’ as frail or passive, these women are forming associations in order to generate incomes, resist stigma, connect with broader support networks and provide care to hundreds in their communities.

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: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.995

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 head0.025
GPT teacher head0.262
Teacher spread0.237 · 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

Citations20
Published2013
Admission routes1
Has abstractyes

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