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An anthropologic study on strategies for addressing health problems among the elderly in Bambuí, Minas Gerais State, Brazil

2011· article· en· W2130579204 on OpenAlexaff
Elizabeth Uchôa, Josélia Oliveira Araújo Firmo, Maria Fernanda Lima‐Costa, Ellen Corin

Bibliographic record

VenueCadernos de Saúde Pública · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsMcGill University
FundersFundação de Amparo à Pesquisa do Estado de Minas GeraisConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsSocioeconomic statusPovertyPerceptionElderly peopleGerontologySociologySocioeconomicsEconomic growthPsychologyMedicineDemographyPopulationEconomics

Abstract

fetched live from OpenAlex

This paper explores the contribution of anthropological perspectives for clarifying the mechanisms through which socioeconomic circumstances influence the strategies developed by elderly for addressing their health problems in a small Brazilian city. Interviews with 20 key-informants explored the community's broad perception of the health situation of the elderly. Life histories collected from 30 elderly women examined their own perception of their health status and their health strategies. Narratives converge in emphasising the important role played by financial factors in accessing health services and medication. Life histories also describe some damaging strategies resorted to by the elderly to deal with their lack of resources. Elderly women emphasize the crucial support they receive from their family and/or neighbours to overcome health problems. Thus, the issue of poverty is not only a matter of socioeconomic circumstances, but also the poverty of broader social networks.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
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 head0.195
GPT teacher head0.478
Teacher spread0.283 · 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.

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

Citations9
Published2011
Admission routes1
Has abstractyes

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