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Record W2082777934 · doi:10.5539/ass.v9n14p30

Chinese Culture and Cancer among Malaysian Chinese Cancer Survivors

2013· article· en· W2082777934 on OpenAlexvenueno aff
Yew Wong Chin Vivien, Ah Choy Er, Noor Azlan Mohd Noor

Bibliographic record

VenueAsian Social Science · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsnot available
FundersUniversiti Kebangsaan Malaysia
KeywordsCancerSociocultural evolutionPerceptionChinese culturePsychologyMedicineClinical psychologySociologyChinaInternal medicine

Abstract

fetched live from OpenAlex

We conduct a case study on cancer survivors with the aim to investigate the influence of specific social and cultural factors that may have influenced informants’ unhealthy lifestyle and health-seeking behaviour and thus causing the illness - cancer. In the 50 in-depth interviews with 50 informants, this report of Chinese culture and cancer was designed to evaluate the role of Chinese culture in causing cancer. In its discussion section, this report focuses on three main themes of cancer diagnosis among the informants: (i) perception of health and illness after cancer, (ii) emotional effects of stress in cancer etiology, and (iii) decision-making and cancer treatment. In summary, several Chinese sociocultural beliefs and practices played their roles in the informants’ ways of living, health-seeking behaviours, and cancer diagnosis. The results suggested that Chinese cultural beliefs and practices influenced the Malaysian Chinese cancer survivors’ perceptions of health, illness, and cancer treatment.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0030.004
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.312
Teacher spread0.303 · 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 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

Citations10
Published2013
Admission routes1
Has abstractyes

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