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Record W2915682186 · doi:10.1080/14442213.2019.1572782

Chinese Rural Health-Seeking Behaviour and the Dilemma of Sufferers of Chronic Sickness: A Case Study from Inner Mongolia

2019· article· en· W2915682186 on OpenAlexfundno aff
Honge Zheng, Fei Liu

Bibliographic record

VenueThe Asia Pacific Journal of Anthropology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsnot available
FundersNational Office for Philosophy and Social SciencesInternational Development Research CentreCanadian International Development Agency
KeywordsMedicineDilemmaRecreationRural areaPsychiatryPsychologyPolitical science

Abstract

fetched live from OpenAlex

Chinese society is entering a ‘period of chronic sickness’, especially hypertension, hyperglycemia and hyperlipidemia, resulting from a more easily available diet rich in animal fat and protein. The damage is greatest in rural areas where medical and welfare facilities are limited and patients present late, which they justify as needing to continue farming despite sickness. Thus, contrary to Parsons’s observation regarding Western medical treatment, a patient’s sick role is neither ‘deviant’ nor separated from their everyday social role and lifestyle. Villagers might however be officially encouraged to regard biomedical, religious and traditional folk therapies as neither old-fashioned nor in conflict, but as a spectrum providing emotional/psychological and sometimes physical benefit, reinforced by returning to the greater community and family care existing before village social fragmentation. This recreation of a holistic perspective could enhance the quality of rural life, especially of chronic sickness sufferers.

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)0.004
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.020
GPT teacher head0.408
Teacher spread0.387 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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