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Record W3131978160 · doi:10.1002/j.sda2.20120301.0004

Research Articles: Welcome to “Pine Tree Hall”: An Ethnography of Caregiving for the Elderly in Beijing

2012· article· en· W3131978160 on OpenAlexaff
Shika Card

Bibliographic record

VenueStudent Anthropologist · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropological Studies and Insights
Canadian institutionsMcGill University
Fundersnot available
KeywordsBeijingEthnographySociologyIntersubjectivityChinaContext (archaeology)IdeologyGender studiesPsychologySocial scienceAnthropologyPoliticsPolitical scienceHistoryLaw

Abstract

fetched live from OpenAlex

Abstract Drawing upon ethnographic observations from Songtang Guanhuai Hospital, the first institution to offer hospice care in Beijing, China, this paper is an anthropological examination of caregiving for the elderly within a contemporary, urban Chinese context from the perspectives of patients and both professional and familial caregivers. Taking a phenomenological approach to anthropology, this article explores how Chinese individuals approach the illness experience, the aging process, and the end of life of elderly family members and patients, and aims to understand the particular Chinese cultural ideologies of caregiving for the elderly. By focusing on the notion of “sensibility,” or that which allows each individual to experience in her own way the challenges and realities of moral experience, I argue that not only is the practice of caregiving a fundamentally intersubjective process, but moreover that the experience of giving care in a Chinese setting is intersubjective in culturally specific ways. Through ethnography it is possible to examine how subjectivities are shaped and how intersubjectivity is experienced within the Chinese context. This article demonstrates how the active commitment to and the moral presence of caregiving emerges in the lives of Chinese individuals amidst the confusion, messiness, and deep uncertainty of the aging process and the end of life in China.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.008
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.193
GPT teacher head0.500
Teacher spread0.307 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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